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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

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Face Identification by a Cascade of Rejection Classifiers

Face Identification by a Cascade of Rejection Classifiers

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： Quan Yuan A. Thangali S. Sclaroff Computer Science Boston University Boston MA USA

Nearest neighbor search is commonly employed in face recognition but it does not scale well to large dataset sizes. A strategy to combine rejection classifiers into a cascade for face identification is proposed in this paper. A rejection classifier for a pair of classes is defined to reject at least one of the classes with high confidence. These rejection classifiers are able to share discriminants in feature space and at the same time have high confidence in the rejection decision. In the face identification problem, it is possible that a pair of known individual faces are very dissimilar. It is very unlikely that both of them are close to an unknown face in the feature space. Hence, only one of them needs to be considered. Using a cascade structure of rejection classifiers, the scope of nearest neighbor search can be reduced significantly. Experiments on Face recognition Grand Challenge (FRGC) version 1 data demonstrate that the proposed method achieves significant speed up and an accuracy comparable with the brute force Nearest Neighbor method. In addition, a graph cut based clustering technique is employed to demonstrate that the pairwise separability of these rejection classifiers is capable of semantic grouping.

关键词： Nearest neighbor searches Face recognition Watches Testing computer science Surveillance Access control Robustness Lighting Hair

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On the derivation of geometric constraints in stereo

On the derivation of geometric constraints in stereo

引用

conference on computer vision and pattern recognition (cvpr)

作者： C.V. Stewart Department of Computer Science and New York State Center for Advanced Technology in Automation and Robotics Rensselaer Polytechnic Institute Troy NY USA

Probability density functions (PDFs) are derived for many of the geometric measurements upon which stereo matching techniques are based, including orientation differences between matching line segments or curves, the gradient of disparity, the directional derivative of disparity, and disparity differences between matches. The PDFs resulting from the transformations are used to critically examine many existing stereo techniques. Several techniques based on these PDFs are proposed.< >

关键词： Layout Cameras Geometry Robotics and automation Probability density function Image segmentation Solid modeling Jacobian matrices Measurement uncertainty computer science

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Using stereomotion to track binocular targets

Using stereomotion to track binocular targets

引用

conference on computer vision and pattern recognition (cvpr)

作者： M.R.M. Jenkin Department of Computer Science York University Downsview ONT Canada

An algorithm is presented for the smooth tracking of a target in three-dimensional space by a binocular head which is capable of vergence, version, and tilt eye movements. This algorithm utilizes stereomotion channels to obtain a measurement of the three-dimensional velocity of the target, and then uses this velocity within a control loop to keep the target center at the fixation point of the binocular head. Although stereomotion alone is insufficient to accurately drive binocular eye movements, relative stereomotion is a useful measurement and could be easily integrated into a positional error driven tracking system.< >

关键词： Target tracking Cameras Head Position measurement Hardware Visual system Eyes computer science computer vision Velocity measurement

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An analysis of the probability of disparity changes in stereo matching and a new algorithm based on the analysis

An analysis of the probability of disparity changes in stere...

引用

conference on computer vision and pattern recognition (cvpr)

作者： C.V. Stewart Department of Computer Science Rensselaer Polytechnic Institute Troy NY USA

The main contributions of this research are: (1) the derivation of the probability density function (pdf) of disparity changes in stereo matching based on the pdf of depth changes in the world and on the parameters of the stereo image formation process, (2) the definition of a match support equation based on the derived pdf, and (3) the incorporation of the support equation into a relaxation matching algorithm. The derived pdf and support equation are applicable to many existing stereo algorithms.< >

关键词： Algorithm design and analysis Equations Image analysis Image converters computer science Probability density function Image sampling Cameras Lenses Length measurement

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A Second Generation Low Cost Embedded Color vision System

A Second Generation Low Cost Embedded Color Vision System

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： A. Rowe C. Rosenberg I. Nourbakhsh Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Google Inc. Mountain View CA USA Robotics Institute Carnegie Mellon University Pittsburgh PA USA

In this paper we describe a low cost embedded vision system, the CMUcam2. The CMUcam2 is the second generation of the CMUcam system and attempts to overcome the shortcomings of the original system as well as improve upon and add to its functionality. The goal of the system is to provide simple vision capabilities to small embedded systems in the form of an intelligent sensor. The system utilizes a low cost CMOS color camera module, a frame buffer chip and all image data is processed by a low cost microcontroller. The system includes the original functionality of color blob tracking, but improves upon it with tracking speeds of up to 50 frames per second. New functionality includes frame differencing, edge detection, and color histogramming. Other improvements were also made to facilitate communication with slower speed processors, as is often the case in a variety of robotics applications, including miniature robotics, hobby robotics and aerial robots.

关键词： Costs Machine vision Robots CMOS image sensors Embedded system Intelligent sensors CMOS process Color Cameras Microcontrollers

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Example-based style synthesis

Example-based style synthesis

引用

conference on computer vision and pattern recognition (cvpr)

作者： I. Drori D. Cohen-Or H. Yeshurun School of Computer Science Tel-Aviv University Tel-Aviv Israel

We introduce an example-based synthesis technique that extrapolates novel styles for a given input image. The technique is based on separating the style and content of image fragments. Given an image with a new style and content, it is first adaptively partitioned into fragments. Stitching together novel fragments produces a coherent image in a new style for a given content. The aggregate of synthesized fragments approximates a globally non-linear model with a set of locally linear models. We show the result of our method for various artistic, sketch, and texture filters and painterly styles applied to different image content classes.

关键词： computer vision computer science Aggregates Filters Painting Rendering (computer graphics) Table lookup Pixel computer society pattern recognition

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Multi-image matching using multi-scale oriented patches

Multi-image matching using multi-scale oriented patches

引用

conference on computer vision and pattern recognition (cvpr)

作者： M. Brown R. Szeliski S. Winder Department of Computer Science University of British Columbia Canada Vision Technology Group Microsoft Research Limited USA

This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriented using a blurred local gradient. This defines a rotationally invariant frame in which we sample a feature descriptor, which consists of an 8 /spl times/ 8 patch of bias/gain normalised intensity values. The density of features in the image is controlled using a novel adaptive non-maximal suppression algorithm, which gives a better spatial distribution of features than previous approaches. Matching is achieved using a fast nearest neighbour algorithm that indexes features based on their low frequency Haar wavelet coefficients. We also introduce a novel outlier rejection procedure that verifies a pairwise feature match based on a background distribution of incorrect feature matches. Feature matches are refined using RANSAC and used in an automatic 2D panorama stitcher that has been extensively tested on hundreds of sample inputs.

关键词： Wavelet coefficients Indexing Phase detection Detectors computer vision computer science Programmable control Adaptive control Frequency Automatic testing

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Extraction and integration of window in a 3D building model from ground view images

Extraction and integration of window in a 3D building model ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Sung Chun Lee R. Nevatia Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

Details of the building facades are needed for high quality fly-through visualization or simulation applications. Windows form a key structure in the detailed facade reconstruction. In this paper, given calibrated facade texture (i.e. the rectified texture), we extract and reconstruct the 3D window structure of the building. We automatically extract windows (rectangles in the rectified image) using a profile projection method, which exploits the regularity of the vertical and horizontal window placement. We classify the extracted windows using 2D dimensions and image texture information. The depth of the extracted windows is automatically computed using window classification information and image line features. A single ground view image is enough to compute 3D depths of the facade windows in our approach.

关键词： Windows Buildings Image reconstruction Data mining Intelligent robots Visualization computer vision Focusing Cameras Solid modeling

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Automatic thermal monitoring system (ATHEMOS) for deception detection

Automatic thermal monitoring system (ATHEMOS) for deception ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： P. Buddharaju J. Dowdall P. Tsiamyrtzis D. Shastri I. Pavlidis M.G. Frank Department of Computer Science University of Houston Clear Lake Houston TX USA Department of Communication Rutgers University New Brunswick NJ USA

Previous work has demonstrated the correlation of periorbital perfusion and stress levels in human beings. In this paper, we report results on a large and realistic mock-crime interrogation experiment. The interrogation is free flowing and no restrictions have been placed on the subjects. We propose a new methodology to compute the average periorbital temperature signal. The present approach addresses the deficiencies of the earlier methodology and is capable of coping with the challenges posed by the realistic setting. Specifically, it features a tandem condensation tracker to register the periorbital area in the context of a moving face. It operates on the raw temperature signal and tries to improve the information content by suppressing the noise level instead of amplifying the signal as a whole. Finally, a pattern recognition method classifies stressful (deceptive) from non-stressful (non-deceptive) subjects based on a comparative measure between the interrogation signal (baseline) and portions thereof (transient response).

关键词： computerized monitoring Face detection Humans Temperature Thermal stresses Image analysis computer vision computer science computer architecture Skin

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Two plane camera calibration: a unified model

Two plane camera calibration: a unified model

引用

conference on computer vision and pattern recognition (cvpr)

作者： G.-Q. Wei S.D. Ma National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China Nat. Lab. of Pattern Recognition Chinese Acad. of Sci. Beijing China

A unified model for camera calibration is presented. The model does not assume any explicit form of imaging process and can perform linear back projection while considering all lens distortions. This model is well suited to stereo reconstruction. It has been shown that the original two-plane model, the linear and nonlinear pin hole model, can all be realized as special cases of this model. With the two-plane model, optimal orientation of the two reference planes can be found intuitively.< >

关键词： Cameras Calibration Interpolation Lenses Nonlinear distortion computer vision Spline Image storage pattern recognition Automation

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