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The control of cameras is as important in games as it is in cinema. How the camera tracks and moves determines our point of view and influences our attitude towards the content. A poorly designed camera system in a game can disrupt a users experience, while a well-designed one can make a good game into a great one. The challenge in games is that th
Book Synopsis Real Time Cameras by : Mark Haigh-Hutchinson
Download or read book Real Time Cameras written by Mark Haigh-Hutchinson and published by CRC Press. This book was released on 2009-04-02 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The control of cameras is as important in games as it is in cinema. How the camera tracks and moves determines our point of view and influences our attitude towards the content. A poorly designed camera system in a game can disrupt a users experience, while a well-designed one can make a good game into a great one. The challenge in games is that th
The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored in the database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.
Book Synopsis Wide Area Surveillance by : Vijayan K. Asari
Download or read book Wide Area Surveillance written by Vijayan K. Asari and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored in the database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.
Shoot, edit, and share action-packed video with a GoPro The world moves fast—so if you want to capture it in real time, only a fast-moving camera will do. Enter the GoPro! This small but powerful camera is easy to hold, wear, or mount to capture video of all your high-speed adventures. Unfortunately, to the uninitiated, it can be a bit intimidating—but fear not! With the help of this revised edition of GoPro Cameras For Dummies, you'll acquire the skills needed to shoot high-quality video or photos, edit raw footage into a final masterpiece, and share your GoPro works of art with the world. Compared with traditional digital video devices, the GoPro is a superhero. Okay, so it can't scale high rises, but it can go virtually anywhere and produce thrilling new perspectives of an epic slalom down the slopes or awesomely scenic hike—and everything in between. When still photos simply won't do the trick, GoPro Cameras For Dummies shows you step by step how to use your GoPro camera to make movies, work with available light, create time-lapse sequences, and so much more. Meet the full line of GoPro cameras, including the HERO5, and find the one that's right for you Get help setting your GoPro to shoot better video Discover what you need (or don't need) to shoot in the water Find step-by-step guidance for capturing better sound Edit your work like a GoPro guru Packed with full-color photos and updated to cover the latest GoPro cameras and software, this fun and accessible guide is a gadget lover's dream.
Book Synopsis GoPro Cameras For Dummies by : John Carucci
Download or read book GoPro Cameras For Dummies written by John Carucci and published by John Wiley & Sons. This book was released on 2016-12-21 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shoot, edit, and share action-packed video with a GoPro The world moves fast—so if you want to capture it in real time, only a fast-moving camera will do. Enter the GoPro! This small but powerful camera is easy to hold, wear, or mount to capture video of all your high-speed adventures. Unfortunately, to the uninitiated, it can be a bit intimidating—but fear not! With the help of this revised edition of GoPro Cameras For Dummies, you'll acquire the skills needed to shoot high-quality video or photos, edit raw footage into a final masterpiece, and share your GoPro works of art with the world. Compared with traditional digital video devices, the GoPro is a superhero. Okay, so it can't scale high rises, but it can go virtually anywhere and produce thrilling new perspectives of an epic slalom down the slopes or awesomely scenic hike—and everything in between. When still photos simply won't do the trick, GoPro Cameras For Dummies shows you step by step how to use your GoPro camera to make movies, work with available light, create time-lapse sequences, and so much more. Meet the full line of GoPro cameras, including the HERO5, and find the one that's right for you Get help setting your GoPro to shoot better video Discover what you need (or don't need) to shoot in the water Find step-by-step guidance for capturing better sound Edit your work like a GoPro guru Packed with full-color photos and updated to cover the latest GoPro cameras and software, this fun and accessible guide is a gadget lover's dream.
Digital cameras, both in traditional form factors and as parts of cell phones, have become ubiquitous over the last decade. But for the most part, they remain black boxes to the end-user, and cannot be reprogrammed or modified. This has become an obstacle to researchers in the new field of computational photography, who want to use the growing computing power of digital cameras to create images no traditional camera could produce. This dissertation presents the Frankencamera platform, a digital camera system designed for computational photography. The Frankencamera is a fully open, fully programmable digital camera, which can be easily modified to test out new research ideas. The Frankencamera architecture allows for per-frame control of the capture process, and accurate synchronization of all the components that make up the camera. Based on this architecture, this dissertation details two hardware platforms: the F2, a flexible custom-built camera; and the Nokia N900, a commercial smartphone. Both platforms can be easily programmed at a high level using the FCam API, written to embody the Frankencamera architecture. Finally, this dissertation presents several sample applications for the Frankencamera platform. Several of these applications could not have been developed for any existing camera platform, and the ease and speed at which they were written show that the Frankencamera platform is a compelling tool for computational photography.
Book Synopsis The Frankencamera by : Eino-Ville Aleksi Talvala
Download or read book The Frankencamera written by Eino-Ville Aleksi Talvala and published by Stanford University. This book was released on 2011 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital cameras, both in traditional form factors and as parts of cell phones, have become ubiquitous over the last decade. But for the most part, they remain black boxes to the end-user, and cannot be reprogrammed or modified. This has become an obstacle to researchers in the new field of computational photography, who want to use the growing computing power of digital cameras to create images no traditional camera could produce. This dissertation presents the Frankencamera platform, a digital camera system designed for computational photography. The Frankencamera is a fully open, fully programmable digital camera, which can be easily modified to test out new research ideas. The Frankencamera architecture allows for per-frame control of the capture process, and accurate synchronization of all the components that make up the camera. Based on this architecture, this dissertation details two hardware platforms: the F2, a flexible custom-built camera; and the Nokia N900, a commercial smartphone. Both platforms can be easily programmed at a high level using the FCam API, written to embody the Frankencamera architecture. Finally, this dissertation presents several sample applications for the Frankencamera platform. Several of these applications could not have been developed for any existing camera platform, and the ease and speed at which they were written show that the Frankencamera platform is a compelling tool for computational photography.
A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.
Book Synopsis Smart Cameras by : Ahmed Nabil Belbachir
Download or read book Smart Cameras written by Ahmed Nabil Belbachir and published by Springer Science & Business Media. This book was released on 2009-10-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.
This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.
Book Synopsis Real-Time Image and Video Processing by : Nasser Kehtarnavaz
Download or read book Real-Time Image and Video Processing written by Nasser Kehtarnavaz and published by Springer Nature. This book was released on 2022-06-01 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.
The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging techniques at the intersection of various fields such as optics, computer vision, and computer graphics. These methods enhance the capabilities of traditional digital photography by applying computational techniques both during and after the capturing process. This thesis targets two major subjects in this field: High Dynamic Range (HDR) image reconstruction and Light Field (LF) compressive capturing, compression, and real-time rendering. The first part of the thesis focuses on the HDR images that concurrently contain detailed information from the very dark shadows to the brightest areas in the scenes. One of the main contributions presented in this thesis is the development of a unified reconstruction algorithm for spatially variant exposures in a single image. This method is based on a camera noise model, and it simultaneously resamples, reconstructs, denoises, and demosaics the image while extending its dynamic range. Furthermore, the HDR reconstruction algorithm is extended to adapt to the local features of the image, as well as the noise statistics, to preserve the high-frequency edges during reconstruction. In the second part of this thesis, the research focus shifts to the acquisition, encoding, reconstruction, and rendering of light field images and videos in a real-time setting. Unlike traditional integral photography, a light field captures the information of the dynamic environment from all angles, all points in space, and all spectral wavelength and time. This thesis employs sparse representation to provide an end-to-end solution to the problem of encoding, real-time reconstruction, and rendering of high dimensional light field video data sets. These solutions are applied on various types of data sets, such as light fields captured with multi-camera systems or hand-held cameras equipped with micro-lens arrays, and spherical light fields. Finally, sparse representation of light fields was utilized for developing a single sensor light field video camera equipped with a color-coded mask. A new compressive sensing model is presented that is suitable for dynamic scenes with temporal coherency and is capable of reconstructing high-resolution light field videos.
Book Synopsis Computational Photography by : Saghi Hajisharif
Download or read book Computational Photography written by Saghi Hajisharif and published by Linköping University Electronic Press. This book was released on 2020-02-18 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging techniques at the intersection of various fields such as optics, computer vision, and computer graphics. These methods enhance the capabilities of traditional digital photography by applying computational techniques both during and after the capturing process. This thesis targets two major subjects in this field: High Dynamic Range (HDR) image reconstruction and Light Field (LF) compressive capturing, compression, and real-time rendering. The first part of the thesis focuses on the HDR images that concurrently contain detailed information from the very dark shadows to the brightest areas in the scenes. One of the main contributions presented in this thesis is the development of a unified reconstruction algorithm for spatially variant exposures in a single image. This method is based on a camera noise model, and it simultaneously resamples, reconstructs, denoises, and demosaics the image while extending its dynamic range. Furthermore, the HDR reconstruction algorithm is extended to adapt to the local features of the image, as well as the noise statistics, to preserve the high-frequency edges during reconstruction. In the second part of this thesis, the research focus shifts to the acquisition, encoding, reconstruction, and rendering of light field images and videos in a real-time setting. Unlike traditional integral photography, a light field captures the information of the dynamic environment from all angles, all points in space, and all spectral wavelength and time. This thesis employs sparse representation to provide an end-to-end solution to the problem of encoding, real-time reconstruction, and rendering of high dimensional light field video data sets. These solutions are applied on various types of data sets, such as light fields captured with multi-camera systems or hand-held cameras equipped with micro-lens arrays, and spherical light fields. Finally, sparse representation of light fields was utilized for developing a single sensor light field video camera equipped with a color-coded mask. A new compressive sensing model is presented that is suitable for dynamic scenes with temporal coherency and is capable of reconstructing high-resolution light field videos.
This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry, medicine, automotive industry, drones, etc. The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos. Several specific applications of multi-camera systems are presented, such as depth estimation, high dynamic range imaging, and medical imaging.
Book Synopsis Design and Implementation of Real-Time Multi-Sensor Vision Systems by : Vladan Popovic
Download or read book Design and Implementation of Real-Time Multi-Sensor Vision Systems written by Vladan Popovic and published by Springer. This book was released on 2017-07-03 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry, medicine, automotive industry, drones, etc. The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos. Several specific applications of multi-camera systems are presented, such as depth estimation, high dynamic range imaging, and medical imaging.
Real-Time Image and Video Processing presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods.Throughout the book, carefully selected, representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, readers will have a strong understanding of the wide variety of techniques and tools involved in designing a real-time image or video processing system.
Book Synopsis Real-time Image and Video Processing by : Nasser Kehtarnavaz
Download or read book Real-time Image and Video Processing written by Nasser Kehtarnavaz and published by Morgan & Claypool Publishers. This book was released on 2006 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-Time Image and Video Processing presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods.Throughout the book, carefully selected, representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, readers will have a strong understanding of the wide variety of techniques and tools involved in designing a real-time image or video processing system.
The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.
Book Synopsis Consumer Depth Cameras for Computer Vision by : Andrea Fossati
Download or read book Consumer Depth Cameras for Computer Vision written by Andrea Fossati and published by Springer Science & Business Media. This book was released on 2012-10-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.
