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Estimating Physical Camera Parameters For

by Dav Video Coding, Dirk Farin A , 2004
"... To achieve this evolution into the 3D world, not only the video data itself, but also meta-data about the recoding setup is required, specifically including camera calibration information. Descriptors for storing camera parameters like the rotation angles and focal length have already been proposed ..."
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as an extension to MPEG-7. Knowing the physical camera parameters instead of only an abstract representation allows for many interesting applications. One example could be to imitate the camera motion from the original sequence with an automatic pan/tilt/zoomcamera, placed in a new environment. The obtained

Edge Detection

by Ellen C. Hildreth , 1985
"... For both biological systems and machines, vision begins with a large and unwieldy array of measurements of the amount of light reflected from surfaces in the environment. The goal of vision is to recover physical properties of objects in the scene, such as the location of object boundaries and the s ..."
Abstract - Cited by 1287 (1 self) - Add to MetaCart
For both biological systems and machines, vision begins with a large and unwieldy array of measurements of the amount of light reflected from surfaces in the environment. The goal of vision is to recover physical properties of objects in the scene, such as the location of object boundaries

Optimal Multiple Sprite Generation based on Physical Camera Parameter Estimation

by Matthias Kunter A, Andreas Krutz A, Mrinal M, Al B, Thomas Sikora A
"... We present a robust and computational low complex method to estimate the physical camera parameters, intrinsic and extrinsic, for scene shots captured by cameras applying pan, tilt, rotation, and zoom. These parameters are then used to split a sequence of frames into several subsequences in an optim ..."
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We present a robust and computational low complex method to estimate the physical camera parameters, intrinsic and extrinsic, for scene shots captured by cameras applying pan, tilt, rotation, and zoom. These parameters are then used to split a sequence of frames into several subsequences

Estimating Physical Camera Parameters based on Multi-Sprite Motion Estimation

by Dirk Farin, Peter H.N. de With , 2005
"... Global-motion estimation algorithms as they are employed in the MPEG-4 or H.264 video coding standards describe motion with a set of abstract parameters. These parameters model the camera motion, but they cannot be directly related to a physical meaning like rotation angles or the focal-length. We p ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Global-motion estimation algorithms as they are employed in the MPEG-4 or H.264 video coding standards describe motion with a set of abstract parameters. These parameters model the camera motion, but they cannot be directly related to a physical meaning like rotation angles or the focal-length. We

Augmented Surfaces: A Spatially Continuous Work Space for Hybrid Computing Environments

by Jun Rekimoto, Masanori Saitoh , 1999
"... This paper describes our design and implementation of a computer augmented environment that allows users to smoothly interchange digital information among their portable computers, table and wall displays, and other physical objects. Supported by a camera-based object recognition system, users can e ..."
Abstract - Cited by 329 (4 self) - Add to MetaCart
This paper describes our design and implementation of a computer augmented environment that allows users to smoothly interchange digital information among their portable computers, table and wall displays, and other physical objects. Supported by a camera-based object recognition system, users can

Reliable Feature Matching Across Widely Separated Views

by Adam Baumberg , 2000
"... In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional stereo matching approaches we assume no prior knowledge about the relative camera positions and orienta ..."
Abstract - Cited by 308 (0 self) - Add to MetaCart
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional stereo matching approaches we assume no prior knowledge about the relative camera positions

Camera

by Masao Sugi, Yusuke Tamura, Makoto Nikaido, Tamio Arai, Kiyoshi Kotani, Kiyoshi Takamasu, Hiromasa Suzuki, Akio Yamamoto, Yoichi Sato, Seiichi Shin, Fumihiko Kimura , 2008
"... The attentive workbench (AWB) is a new cell production system that supports human workers physically and informationally. Here we focus on physical assembly support through parts delivery, using automatically-moving parts trays. We quantitatively evaluated processing time in actual assembly experime ..."
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The attentive workbench (AWB) is a new cell production system that supports human workers physically and informationally. Here we focus on physical assembly support through parts delivery, using automatically-moving parts trays. We quantitatively evaluated processing time in actual assembly

Multi-Projector Displays Using Camera-Based Registration

by Ramesh Raskar, Michael Brown, Ruigang Yang, Wei-chao Chen, Greg Welch, Herman Towles, Brent Seales, Henry Fuchs, Greg Welch Herman Towles , 1999
"... Conventional projector-based display systems are typically designed around precise and regular configurations of projectors and display surfaces. While this results in rendering simplicity and speed, it also means painstaking construction and ongoing maintenance. In previously published work, we int ..."
Abstract - Cited by 163 (30 self) - Add to MetaCart
introduced a vision of projector-based displays constructed from a collection of casually-arranged projectors and display surfaces. In this paper, we present flexible yet practical methods for realizing this vision, enabling low-cost mega-pixel display systems with large physical dimensions, higher

Kinectfusion: real-time 3D reconstruction and interaction using a moving depth camera

by Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew Davison, Andrew Fitzgibbon - In Proc. UIST , 2011
"... Figure 1: KinectFusion enables real-time detailed 3D reconstructions of indoor scenes using only the depth data from a standard Kinect camera. A) user points Kinect at coffee table scene. B) Phong shaded reconstructed 3D model (the wireframe frustum shows current tracked 3D pose of Kinect). C) 3D mo ..."
Abstract - Cited by 157 (20 self) - Add to MetaCart
standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene. Only the depth data from Kinect is used to track the 3D pose of the sensor and reconstruct, geometrically precise, 3D models of the physical scene in real-time. The capabilities of KinectFusion, as well as the novel

Live dense reconstruction with a single moving camera

by Richard A. Newcombe, Andrew J. Davison - IEEE Conference on Computer Vision and pattern Recognition , 2010
"... We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starting point, generating accurate 3D camera pose estimates and a sparse point cloud. Our main novel contribution is to use an ..."
Abstract - Cited by 107 (5 self) - Add to MetaCart
We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starting point, generating accurate 3D camera pose estimates and a sparse point cloud. Our main novel contribution is to use
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