Search Results - "Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition"
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1
Learning and recognizing human dynamics in video sequences
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT (1997)“…This paper describes a probabilistic decomposition of human dynamics at multiple abstractions, and shows how to propagate hypotheses across space, time, and…”
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2
Training support vector machines: an application to face detection
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM is a learning technique developed by V. Vapnik and his team (AT&T Bell…”
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3
Image indexing using color correlograms
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of…”
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4
A four-step camera calibration procedure with implicit image correction
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…In geometrical camera calibration the objective is to determine a set of camera parameters that describe the mapping between 3-D reference coordinates and 2-D…”
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5
Gradient vector flow: a new external force for snakes
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems…”
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6
Normalized cuts and image segmentation
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image…”
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7
Shape indexing using approximate nearest-neighbour search in high-dimensional spaces
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model…”
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8
Coupled hidden Markov models for complex action recognition
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…We present algorithms for coupling and training hidden Markov models (HMMs) to model interacting processes, and demonstrate their superiority to conventional…”
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9
Pedestrian detection using wavelet templates
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…This paper presents a trainable object detection architecture that is applied to detecting people in static images of cluttered scenes. This problem poses…”
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10
Robust analysis of feature spaces: color image segmentation
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…A general technique for the recovery of significant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric…”
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11
Catadioptric omnidirectional camera
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Conventional video cameras have limited fields of view that make them restrictive in a variety of vision applications. There are several ways to enhance the…”
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12
The representation and recognition of human movement using temporal templates
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…A new view-based approach to the representation and recognition of action is presented. The basis of the representation is a temporal template-a static…”
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13
A real-time computer vision system for measuring traffic parameters
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…For the problem of tracking vehicles on freeways using machine vision, existing systems work well in free-flowing traffic. Traffic engineers, however, are more…”
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14
Depth from scattering
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Light power is affected when it crosses the atmosphere; there is a simple, albeit non-linear, relationship between the radiance of an image at any given…”
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15
Autocalibration and the absolute quadric
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…The author describes a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with…”
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16
Calibration and rectification for reflection stereo
ISBN: 9781424422425, 1424422426ISSN: 1063-6919, 1063-6919Published: IEEE 01.06.2008Published in 2008 IEEE Conference on Computer Vision and Pattern Recognition (01.06.2008)“…This paper presents a calibration and rectification method for single-camera range estimation using a single complex image with a transparent plate or a…”
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17
Photorealistic scene reconstruction by voxel coloring
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…A novel scene reconstruction technique is presented, different from previous approaches in its ability to cope with large changes in visibility and its…”
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18
Video skimming and characterization through the combination of image and language understanding techniques
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Digital video is rapidly becoming important for education, entertainment, and a host of multimedia applications. With the size of the video collections growing…”
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19
Efficient stereo with multiple windowing
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm is an adaptive, multi-window…”
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20
The FERET evaluation methodology for face-recognition algorithms
ISBN: 9780818678226, 0818678224ISSN: 1063-6919, 1063-6919Published: IEEE 1997Published in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997)“…Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure…”
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