Results 271 to 280 of about 325,269 (317)
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International Journal of Computer Vision, 1999
We present a brief introduction to the five articles that make up this special issue: Shock Graphs and Shape Matching, The Bas-Relief Ambiguity, Incremental Focus of Attention for Robust Vision Based Tracking, What Tasks can be Performed with an Uncalibrated Stereo Vision System, and Volumetric Deformation Analysis Using Mechanics-Based Data Fusion ...
Peter N. Belhumeur +5 more
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We present a brief introduction to the five articles that make up this special issue: Shock Graphs and Shape Matching, The Bas-Relief Ambiguity, Incremental Focus of Attention for Robust Vision Based Tracking, What Tasks can be Performed with an Uncalibrated Stereo Vision System, and Volumetric Deformation Analysis Using Mechanics-Based Data Fusion ...
Peter N. Belhumeur +5 more
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The vision of autonomic computing
Computer, 2003A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several ...
Jeffrey O. Kephart, David M. Chess
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Computer, 2007
Editor-In-Chief (EiC) Carl K. Chang offers a look at his plans for Computer magazine's future.
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Editor-In-Chief (EiC) Carl K. Chang offers a look at his plans for Computer magazine's future.
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Computer vision vs. human vision
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. But by recent information processing techniques, these kinds of features cannot be detected by computers robustly so
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Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 2002
Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying aggregated predictors to a computer vision problem, and shows that the method of bagging significantly improves performance. In fact, the results are better than those previously
Bruce A. Draper, Kyungim Baek
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Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying aggregated predictors to a computer vision problem, and shows that the method of bagging significantly improves performance. In fact, the results are better than those previously
Bruce A. Draper, Kyungim Baek
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Communications of the ACM, 1994
If a creature-either biological or mechanical-is to interact effectively with its environment, it need to know what objects are where. Computer vision provides a primary method for understanding how to make intelligent decisions about an environment, on the basis of sensory ...
W. Eric L. Grimson, Joseph L. Mundy
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If a creature-either biological or mechanical-is to interact effectively with its environment, it need to know what objects are where. Computer vision provides a primary method for understanding how to make intelligent decisions about an environment, on the basis of sensory ...
W. Eric L. Grimson, Joseph L. Mundy
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XRDS: Crossroads, The ACM Magazine for Students
Light impinges on a camera's sensor as a collection of discrete quantized elements, or photons. An emerging class of devices, called single-photon sensors, offers the unique capability of detecting individual photons with high-timing precision. With the increasing accessibility of high-resolution single-photon sensors, we can now explore what computer ...
Varun Sundar, Mohit Gupta 0001
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Light impinges on a camera's sensor as a collection of discrete quantized elements, or photons. An emerging class of devices, called single-photon sensors, offers the unique capability of detecting individual photons with high-timing precision. With the increasing accessibility of high-resolution single-photon sensors, we can now explore what computer ...
Varun Sundar, Mohit Gupta 0001
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Computational Neuroscience of Vision
2001AbstractThis book presents the highly complex subject of vision, focusing on the visual information processing and computational operations in the visual system that lead to representations of objects in the brain. In addition to visual processing, it also considers how visual inputs reach and are involved in the computations underlying a wide range of
Edmund T. Rolls, Gustavo Deco
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Computer vision and Mathematica
Computing and Visualization in Science, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IEEE Multimedia, 2007
As a scientific researcher interested in computer vision and art, the author spent the last seven years working with David Hockney, an artist of whom a respected source writes that "his drawings and etchings are amongst the deftest of this century; posterity may well acclaim him the greatest of modern portraitists".
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As a scientific researcher interested in computer vision and art, the author spent the last seven years working with David Hockney, an artist of whom a respected source writes that "his drawings and etchings are amongst the deftest of this century; posterity may well acclaim him the greatest of modern portraitists".
openaire +1 more source