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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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Error analysis of 3D motion estimation algorithms in the differential case

Error analysis of 3D motion estimation algorithms in the dif...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Tao Xiang Loong-Fah Cheong Department of Computer Science University of London UK Department of Electrical & Computer Engineering National University of Singapore Singapore

ISBN: (纸本)0769519008

We put forth in this paper a geometrically motivated 3D (three-dimensional) motion error analysis, which is capable of supporting investigation of global effect such as inherent ambiguities. The error expression that we derive allows us to predict the exact conditions likely to cause ambiguities and how these ambiguities vary with motion types such as lateral or forward motion. Our formulation, though geometrically motivated, is employed to model the effect of noise.

关键词： Error analysis Motion estimation computer aided software engineering Motion analysis Parameter estimation Cost function Optical noise computer vision Fluid flow measurement Displacement measurement

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A road sign recognition system based on dynamic visual model

A road sign recognition system based on dynamic visual model

引用

conference on computer vision and pattern recognition (cvpr)

作者： C.Y. Fang C.S. Fuh S.W. Chen P.S. Yen Department of Information and Computer Education National Taiwan Normal University Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan Normal University Taipei Taiwan

We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, called dynamic visual model, consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting and recognizing road signs is developed.

关键词： Humans Visual system Video sequences computer science Computational modeling Vehicle dynamics Traffic control Road vehicles Data mining computer science education

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Robust crease detection in fingerprint images

Robust crease detection in fingerprint images

引用

conference on computer vision and pattern recognition (cvpr)

作者： Chenyu Wu Jie Zhou Zhao-qi Bian Gang Rong Department of Automation Tsinghua University Beijing China

ISBN: (纸本)0769519008

We study a pattern in the fingerprint called a crease, a kind of stripe which irregularly crosses the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae when using a conventional feature detection algorithm, and therefore decreases the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering framework to detect creases in different orientations. In each channel, PCA is used to extract a rectangle's parameters from the raw detected results. Our algorithm is demonstrated by experiments.

关键词： Robustness Fingerprint recognition Image matching Filters Detectors computer vision Filtering Principal component analysis Skin Aging

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Structure from motion for scenes without features

Structure from motion for scenes without features

引用

conference on computer vision and pattern recognition (cvpr)

作者： A.J. Yezzi S. Soatto Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Computer Science Department University of California Los Angeles CA USA

We describe an algorithm for reconstructing the 3D (three-dimensional) shape of the scene and the relative pose of a number of cameras from a collection of images under the assumption that the scene does not contain photometrically distinct "features". We work under the explicit assumption that the scene is made of a number of smooth surfaces that radiate constant energy isotropically in all directions, and setup a region-based cost functional that we minimize using local gradient flow techniques.

关键词： Layout Cameras Shape Photometry Image reconstruction Surface reconstruction Cost function computer vision computer science Geometry

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A critical configuration for reconstruction from rectilinear motion

A critical configuration for reconstruction from rectilinear...

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Hartley F. Kahl RSISE Australian National University Australia Centre for Mathematical Sciences Lund University Sweden

This paper investigates critical configurations for projective reconstruction from multiple images taken by a camera moving in a straight line. Projective reconstruction refers to a determination of the 3D (three-dimensional) geometrical configuration of a set of 3D points and cameras, given only correspondences between points in the images. A configuration of points and cameras is critical if it cannot be determined uniquely (up to a projective transform) from the image coordinates of the points. It is shown that a configuration consisting of any number of cameras lying on a straight line, and any number of points lying on a twisted cubic constitutes a critical configuration. An alternative configuration consisting of a set of points and cameras all lying on a rational quartic curve exists.

关键词： Cameras Image reconstruction computer society computer vision pattern recognition

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Object segmentation in videos from moving camera with MRFs on color and motion features

Object segmentation in videos from moving camera with MRFs o...

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Cucchiara A. Prati R. Vezzani D.I.I. University of Modena and Reggio Emilia Modena Italy

In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based on a color segmentation followed by a region-merging on motion through Markov random fields (MRFs). The technique we propose is inspired by the work of Gelgon and Bouthemy (2000), that has been modified to reduce computational cost in order to achieve a fast segmentation (about ten frame per second). To this aim a modified region matching algorithm (namely partitioned region matching) and an innovative arc-based MRF optimization algorithm with a suitable definition of the motion reliability are proposed. Results on both synthetic and real sequences are reported to confirm validity of our solution.

关键词： Object segmentation Videos Cameras computer society computer vision pattern recognition

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Shape-based recognition of wiry objects

Shape-based recognition of wiry objects

引用

conference on computer vision and pattern recognition (cvpr)

作者： O. Carmichael M. Hebert The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

We present an approach to the recognition of complex-shaped objects in cluttered environments based on edge cues. We first use example images of the desired object in typical backgrounds to train a classifier cascade which determines whether edge pixels in an image belong to an instance of the object or the clutter. Presented with a novel image, we use the cascade to discard clutter edge pixels. The features used for this classification are localized, sparse edge density operations. Experiments validate the effectiveness of the technique for recognition of complex objects in cluttered indoor scenes under arbitrary out-of-image-plane rotation.

关键词： Image edge detection Pixel Shape Face detection Filtering Layout Lamps Object detection Image recognition pattern recognition

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3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints

3D object modeling and recognition using affine-invariant pa...

引用

conference on computer vision and pattern recognition (cvpr)

作者： F. Rothganger S. Lazebnik C. Schmid J. Ponce Department of Computer Science and Beckman Institute University of Illinois Urbana-Champaign Urbana-Champaign IL USA INRIA Rhône-Alpes Montbonnot Saint Martin France

This paper presents a representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint. The proposed approach does not require a separate segmentation stage and is applicable to cluttered scenes. Preliminary modeling and recognition results are presented.

关键词： Object recognition Image recognition Layout Shape Geometry computer science Image reconstruction Image segmentation Brightness pattern matching

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Using many cameras as one

Using many cameras as one

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Pless Department of Computer Science and Engineering Washington University of Saint Louis Saint Louis MO USA

We illustrate how to consider a network of cameras as a single generalized camera in a framework proposed by Nayar (2001). We derive the discrete structure from motion equations for generalized cameras, and illustrate the corollaries to epipolar geometry. This formal mechanism allows one to use a network of cameras as if they were a single imaging device, even when they do not share a common center of projection. Furthermore, an analysis of structure from motion algorithms for this imaging model gives constraints on the optimal design of panoramic imaging systems constructed from multiple cameras.

关键词： Cameras Geometry Layout Motion analysis Solid modeling Equations Image analysis Algorithm design and analysis computer vision Motion estimation

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Perception-based 3D triangle mesh segmentation using fast marching watersheds

Perception-based 3D triangle mesh segmentation using fast ma...

引用

conference on computer vision and pattern recognition (cvpr)

作者： A.F. Koschan Imaging Robotics and Intelligent Systems Laboratory University of Tennessee Knoxville Tennessee

In this paper, we describe an algorithm called fast marching watersheds that segments a triangle mesh into visual parts. This computer vision algorithm leverages a human vision theory known as the minima rule. Our implementation computes the principal curvatures and principal directions at each vertex of a mesh, and then our hill-climbing watershed algorithm identifies regions bounded by contours of negative curvature minima. These regions fit the definition of visual parts according to the minima rule. We present evaluation analysis and experimental results for the proposed algorithm.

关键词： Image segmentation computer vision Humans Robustness Intelligent robots Data structures Intelligent systems Laboratories Algorithm design and analysis Surface fitting

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