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检索条件"任意字段=2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010"

共 7219 条记录，以下是4981-4990 订阅

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Modeling Age Progression in Young Faces

Modeling Age Progression in Young Faces

引用

conference on computer vision and pattern recognition (cvpr)

作者： N. Ramanathan R. Chellappa University of Maryland College Park USA

We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the ‘revised’ cardioidal strain transformation model proposed in psychophysical studies related to craniofacial growth. The model takes into account anthropometric evidences collected on facial growth and hence is in accordance with the observed growth patterns in human faces across years. We characterize facial growth by means of growth parameters defined over facial landmarks often used in anthropometric studies. We illustrate how the age-based anthropometric constraints on facial proportions translate into linear and non-linear constraints on facial growth parameters and propose methods to compute the optimal growth parameters. The proposed craniofacial growth model can be used to predict one’s appearance across years and to perform face recognition across age progression. This is demonstrated on a database of age separated face images of individuals under 18 years of age.

关键词： Humans Face detection Capacitive sensors Cardiology Psychology computer vision Head Educational institutions Shape Face recognition

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A Refractive Camera for Acquiring Stereo and Super-resolution Images

A Refractive Camera for Acquiring Stereo and Super-resolutio...

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conference on computer vision and pattern recognition (cvpr)

作者： Chunyu Gao N. Ahuja Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA

We propose a novel depth sensing system composed of a single camera, and a transparent plate which is placed in front of the camera and rotates about the optical axis of the camera. The camera takes a sequence of images as the plate rotates, which provide the equivalent of a large number of stereo pairs. Compared with conventional multi-camera stereo systems, the use of a single camera for capturing stereo pairs helps improve the accuracy of detecting correspondences. The availability of the large number of stereo pairs also reduces matching ambiguities, even for objects with low texture. By using both the images and the estimated depth map, we show that the proposed system is also capable of generating super-resolution images. Experimental results on reconstructing 3D structures and recovering highresolution images are presented.

关键词： Cameras Image resolution Stereo vision Optical sensors Sensor arrays Optical refraction Calibration Optical arrays Data mining Information analysis

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Recognizing three-dimensional objects by comparing two-dimensional images

Recognizing three-dimensional objects by comparing two-dimen...

引用

conference on computer vision and pattern recognition (cvpr)

作者： D.P. Huttenlocher L.M. Lorigo Computer Science Department Cornell University Ithaca NY USA Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA

In this paper we address the problem of recognizing an object from a novel viewpoint, given a single "model" view of that object. As is common in model-based recognition, objects and images are represented as sets of feature points. We present an efficient algorithm for determining whether two sets of image points (in the plane) could be projections of a common object (a three-dimensional point set). The method relies on the fact that two sets of points in the plane are orthographic projections of the same three-dimensional point set exactly when they have a common projection onto a line. This is a form of the well-known epipolar constraint used in stereopsis. Our algorithm can be used to recognize an object by comparing a stored two-dimensional view of the object against an unknown view, without requiring the correspondence between points in the views to be known a priori. We provide some examples illustrating the approach.

关键词： Image recognition Contracts computer science Shape Fellows Hip Artificial intelligence Object recognition Solid modeling Data mining

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A shock grammar for recognition

A shock grammar for recognition

引用

conference on computer vision and pattern recognition (cvpr)

作者： K. Siddiqi B.B. Kimia Department of Electrical Engineering McGill University Montreal QUE Canada Division of Engineering Brown University Providence RI USA

We confront the theoretical and practical difficulties of computing a representation for two-dimensional shape, based on shocks or singularities that arise as the shape's boundary is deformed. First, we develop subpixel local detectors for finding and classifying shocks. Second, to show that shock patterns are not arbitrary but obey the rules of a grammar, and in addition satisfy specific topological and geometric constraints. Shock hypotheses that violate the grammar or are topologically or geometrically invalid are pruned to enforce global consistency. Survivors are organized into a hierarchical graph of shock groups computed in the reaction-diffusion space, where diffusion plays a role of regularization to determine the significance of each shock group. The shock groups can be functionally related to the object's parts, protrusions and bends, and the representation is suited to recognition: several examples illustrate its stability with rotations, scale changes, occlusion and movement of parts, even at very low resolutions.

关键词： Electric shock Shape Detectors Stability Databases Humans Birds Proposals Engine cylinders Skeleton

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Two-view geometry estimation unaffected by a dominant plane

Two-view geometry estimation unaffected by a dominant plane

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conference on computer vision and pattern recognition (cvpr)

作者： O. Chum T. Werner J. Matas CMP Department of Cybernetics Czech Technical University Prague Czech Republic

A RANSAC-based algorithm for robust estimation of epipolar geometry from point correspondences in the possible presence of a dominant scene plane is presented. The algorithm handles scenes with (i) all points in a single plane, (ii) majority of points in a single plane and the rest off the plane, (iii) no dominant plane. It is not required to know a priori which of the cases (i)-(iii) occurs. The algorithm exploits a theorem we proved, that if five or more of seven correspondences are related by a homography then there is an epipolar geometry consistent with the seven-tuple as well as with all correspondences related by the homography. This means that a seven point sample consisting of two outliers and five inliers lying in a dominant plane produces an epipolar geometry which is wrong and yet consistent with a high number of correspondences. The theorem explains why RANSAC often fails to estimate epipolar geometry in the presence of a dominant plane. Rather surprisingly, the theorem also implies that RANSAC-based homography estimation is faster when drawing nonminimal samples of seven correspondences than minimal samples of four correspondences.

关键词： Geometry Layout Robustness Lamps Cybernetics Computational complexity Measurement standards computer society computer vision pattern recognition

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A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network

A Real-Time Human Stress Monitoring System Using Dynamic Bay...

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

作者： Wenhui Liao Weihong Zhang Zhiwei Zhu Qiang Ji Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

We present a real time non-invasive system that infers user stress level from evidences of different modalities. The evidences include physical appearance (facial expression, eye movements, and head movements) extracted from video via visual sensors, physiological conditions collected from an emotional mouse, behavioral data from user interaction activities with the computer, and performance measures. We provide a Dynamic Bayesian Network (DBN) framework to model the user stress and these evidences. We describe the computer vision techniques we used to extract the visual evidences, the DBN model for modeling stress and the associated factors, and the active sensing strategy to collect the most informative evidences for efficient stress inference. Our experiments show that the inferred user stress level by our system is consistent with that predicted by psychological theories.

关键词： Real time systems Stress Bayesian methods Human factors Data mining Biomedical monitoring Mice Physics computing computer vision Psychology

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A Design Principle for Coarse-to-Fine Classification

A Design Principle for Coarse-to-Fine Classification

引用

conference on computer vision and pattern recognition (cvpr)

作者： S. Gangaputra D. Geman Johns Hopkins University Baltimore MD USA

Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shared attributes and the hierarchical nature of the visual world. The basic structure is a nested representation of the space of hypotheses and a corresponding hierarchy of (binary) classifiers. In existing work, the representation is manually crafted. Here we introduce a design principle for recursively learning the representation and the classifiers together. This also unifies previous work on cascades and tree-structured search. The criterion for deciding when a group of hypotheses should be "retested" (a cascade) versus partitioned into smaller groups ("divide-and-conquer") is motivated by recent theoretical work on optimal search strategies. The key concept is the cost-to-power ratio of a classifier. The learned hierarchy consists of both linear cascades and branching segments and outperforms manual ones in experiments on face detection.

关键词： Costs Organizing Object recognition Image segmentation Face detection Object detection Error analysis Layout Shape Buildings

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Modelling reflections via multiperspective imaging

Modelling reflections via multiperspective imaging

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conference on computer vision and pattern recognition (cvpr)

作者： Jingyi Yu L. McMillan Massachusetts Institute of Technology Cambridge MA USA University of North Carolina Chapel Hill Chapel Hill NC USA

We present a novel method for analyzing reflections on arbitrary surfaces. We model reflections using a broader than usual class of imaging models, which include both perspective and multiperspective camera types. We provide an analytical framework to locally model reflections as specific multiperspective cameras around every ray based on a new theory of general linear cameras. Our framework better characterizes the complicated image distortions seen on irregular mirror surfaces as well as the conventional catadioptric mirrors. We show the connection between multiperspective camera models and caustic surfaces of reflections and demonstrate how they reveal important surface rulings of the caustics. Finally, we show how to use our analysis to assist mirror design and characterize distortions seen in catadioptric imaging systems.

关键词： Optical reflection Cameras Mirrors Optical imaging Image analysis computer vision Optical distortion Potential well Physics Geometry

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Target detection in foveal ATR systems

Target detection in foveal ATR systems

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conference on computer vision and pattern recognition (cvpr)

作者： S. Ghosal D.C. McKee Machine Vision Department Amherst Systems Inc. Buffalo NY USA

Automatic target recognition (ATR) applications require simultaneously a wide field of view (FOV) for better detection and situation awareness, high resolution for target recognition and threat assessment, and high frame rate for detecting brief events and disambiguating frame-to-frame correlation. Uniformly sampling the entire FOV at recognition resolution is simply wasteful in ATR scenarios with localized regions of interest (ROIs). Foveal data acquisition with space-variant sampling and context-sensitive sensor articulation is highly optimized for active ATR applications. We propose a multiscale local Zernike filter-based front end target detection technique for a commercially feasible foveal sensor topology with piecewise constant resolution profile. Anisotropic heat diffusion is employed for preprocessing of the foveal data. Expansion template matching is used to derive a detection filter that optimizes the discriminant signal-to-noise ratio (SNR). Results are presented with simulated foveal imagery, derived from real uniform acuity FLIR data.

关键词： Object detection Target recognition Event detection Sampling methods Data acquisition Topology Signal resolution Anisotropic magnetoresistance Matched filters Signal to noise ratio

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On the number of digital straight lines on an N*N grid

On the number of digital straight lines on an N*N grid

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conference on computer vision and pattern recognition (cvpr)

作者： M. Lindenbaum J. Koplowitz A. Bruckstein Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Department of Electrical and Computer Engineering Clarkson University Potsdam NY USA

The number of different digital straight lines on an N*N square pixel array is studied. The problem is equivalent to finding the number of linear dichotomies of a planar set of N/sup 2/ points of an N*N grid. For any planar set of points, adjacent pairs are defined to be pairs of points from the set such that no other point from the set lie on the line segment between them. A one-to-one correspondence between linear dichotomies and adjacent pairs is proved. Then, the adjacent pairs of points of an N*N grid are counted, and the number of linear dichotomies, as well as the number of digital straight lines, follows. An asymptotic evaluation is proved and an efficient algorithm for finding L(N) for any particular N is given.< >

关键词： Pixel pattern recognition Joining ieee

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