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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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A SIFT descriptor with global context

A SIFT descriptor with global context

引用

conference on computer vision and pattern recognition (cvpr)

作者： E.N. Mortensen Hongli Deng L. Shapiro Oregon State University USA University of Washington USA

Matching points between multiple images of a scene is a vital component of many computer vision tasks. Point matching involves creating a succinct and discriminative descriptor for each point. While current descriptors such as SIFT can find matches between features with unique local neighborhoods, these descriptors typically fail to consider global context to resolve ambiguities that can occur locally when an image has multiple similar regions. This paper presents a feature descriptor that augments SIFT with a global context vector that adds curvilinear shape information from a much larger neighborhood, thus reducing mismatches when multiple local descriptors are similar. It also provides a more robust method for handling 2D nonrigid transformations since points are more effectively matched individually at a global scale rather than constraining multiple matched points to be mapped via a planar homography. We have tested our technique on various images and compare matching accuracy between the SIFT descriptor with global context to that without.

关键词： Shape computer vision Insects pattern matching Layout Image reconstruction Cameras Humans Image resolution Robustness

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Beyond pairwise clustering

Beyond pairwise clustering

引用

conference on computer vision and pattern recognition (cvpr)

作者： S. Agarwal Jongwoo Lim L. Zelnik-Manor P. Perona D. Kriegman S. Belongie Department of Computer Science & Engineering University of California San Diego USA Department of Electrical Engineering California Institute of Technology USA

We consider the problem of clustering in domains where the affinity relations are not dyadic (pairwise), but rather triadic, tetradic or higher. The problem is an instance of the hypergraph partitioning problem. We propose a two-step algorithm for solving this problem. In the first step we use a novel scheme to approximate the hypergraph using a weighted graph. In the second step a spectral partitioning algorithm is used to partition the vertices of this graph. The algorithm is capable of handling hyperedges of all orders including order two, thus incorporating information of all orders simultaneously. We present a theoretical analysis that relates our algorithm to an existing hypergraph partitioning algorithm and explain the reasons for its superior performance. We report the performance of our algorithm on a variety of computer vision problems and compare it to several existing hypergraph partitioning algorithms.

关键词： Clustering algorithms Partitioning algorithms computer vision Machine learning algorithms Clustering methods Approximation algorithms computer science Performance analysis Algorithm design and analysis Machine learning

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Interactive shape from shading

Interactive shape from shading

引用

conference on computer vision and pattern recognition (cvpr)

作者： Gang Zeng Y. Matsushita Long Quan Heung-Yeung Shum Hong Kong University of Science and Technology Kowloon Hong Kong China Microsoft Research Asia Beijing Sigma Center Beijing China

Shape from shading (SfS) has always been difficult for real applications due to its intrinsic ill-posedness. In this paper, we propose an interactive SfS method which efficiently uses human knowledge in order to resolve ambiguity. We propose a global solution of continuous surfaces with a few constraints of surface normals that are interactively imposed to regularize the problem. A surface is divided into local patches, and each local solution is estimated with a fast marching SfS. It is shown that the boundaries of local solutions constitute a weighted Voronoi diagram, which allows for the formation of a global solution from the local ones. Finally, we optimize this global estimation by minimizing an energy functional based on shading and smoothness priors. Reconstruction results from both synthetic and real images demonstrate the usability of the new approach for various modeling applications.

关键词： Shape Humans Image reconstruction computer vision Surface reconstruction Asia Layout Usability Application software Optical reflection

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Mobility assessment using simulated *** Human vision

Mobility assessment using simulated *** Human Vision

引用

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

作者： J. Dowling W. Boles A. Maeder School of Engineering Systems Queensland University of Technology Brisbane QLD Australia CSIRO ICT Centre E-Health Research Centre Brisbane QLD Australia

Recent research on Artificial Human vision (AHV, or visual prostheses) has focused on providing visually meaningful information to the blind through electrical stimulation of a visual system component. This paper reports on the use of a programmable PDA-based AHV simulator which can be used by normally sighted participants. Using three different display types, mobility performance on an indoor arti ficial mobility course was assessed using Percentage of Preferred Walking Speed (PPWS) and mobility errors. A looming obstacle alert display was not found to assist with mobility performance. Mobility performance increased as participants learned to use the simulation effectively. Posture, head movements and gait were affected by use of the simulation.

关键词： Humans Image processing Image edge detection Displays Electrodes Sonar detection Head Cameras Pixel Retina

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A direct method for modeling non-rigid motion with thin plate spline

A direct method for modeling non-rigid motion with thin plat...

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conference on computer vision and pattern recognition (cvpr)

作者： Jongwoo Lim Ming-Hsuan Yang Department of Computer Science University of Illinois Urbana-Champaign Urbana-Champaign IL USA Honda Research Institute Mountain View CA USA

ISBN: (纸本)0769523722

Thin plate spline (TPS) transformations have been applied to non-rigid shape matching with impressive results. However, existing methods often use a sparse set of point correspondences which are established prior to shape matching. A straightforward approach to finding point correspondences and computing TPS parameters imposes expensive computations, thereby motivating us to develop an efficient solution. In this paper, we present a direct method for recovering non-rigid object motion from its appearance in which the point correspondences are simultaneously established while estimating TPS parameters. The motion parameters are estimated in a stiff-to-flexible approach and the principal appearance deformations are learned that can be utilized for motion analysis and recognition. Numerous experiments demonstrate the efficiency and efficacy of the proposed algorithm in modeling the motion details of non-rigid objects undergoing shape deformation and pose variation.

关键词： Spline Motion estimation Parameter estimation Deformable models Motion analysis Linear systems computer vision Active shape model computer science Humans

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computer vision for music identification: video demonstration

Computer vision for music identification: video demonstratio...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Ke D. Hoiem Rahul Sukthankar School of Computer Science Carnegie Mellon University Pittsburgh PA USA Intel Research Pittsburgh Pittsburgh PA USA

This paper describes a demonstration video for our music identification system. The goal of music identification is to reliably recognize a song from a small sample of noisy audio. This problem is challenging because the recording is often corrupted by noise and because the audio sample will only match a small portion of the target song. Additionally, a practical music identification system should scale (in both accuracy and speed) to databases containing hundreds of thousands of songs. Recently, the music identification problem has attracted considerable attention. However, the task remains unsolved, particularly for noisy real-world queries. We cast music identification into an equivalent sub-image retrieval framework: identify the portion of a spectrogram image from the database that best matches a given query snippet. Our approach treats the spectrogram of each music clip as a 2D image and transforms music identification into a corrupted sub-image retrieval problem.

关键词： computer vision Multiple signal classification Acoustic noise Spectrogram Music information retrieval Signal processing algorithms Audio recording Signal processing Speech analysis Image retrieval

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A slit scanning depth of route panorama from stationary blur

A slit scanning depth of route panorama from stationary blur

引用

conference on computer vision and pattern recognition (cvpr)

作者： Min Shi Jiang Yu Zheng Department of Computer Science Indiana University-Purdue University Indianapolis USA

ISBN: (纸本)0769523722

This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes continuously for a route panorama. This paper proposes a novel method of depth estimation by analyzing a new phenomenon named stationary blur in the route panorama. We find its relation with the depth and evaluate its degree at local and global levels. The depth estimation through filtering avoids feature matching and tracking that are error-prone in the scanning of real and complex street scenes. Our method provides reliable results but requires much less data than that of the structure from motion. This keeps the elegance of the route panorama in data representation, and is suitable for real time sensor development. Utilizing the completeness of the route panorama in the scene archiving, we can generate planar models of streets, which can be used in city visualization.

关键词： Layout Cameras Cities and towns Videos Vehicles Data visualization Image motion analysis pattern analysis computer science Matched filters

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Statistical Learning of Visual Feature Hierarchies

Statistical Learning of Visual Feature Hierarchies

引用

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

作者： F. Scalzo J.H. Piater University of Liège Liege Belgium

We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method combines these primitives into high-level abstractions. Our appearance-based learning method uses local statistical analysis between features and Expectation- Maximization (EM) to identify and code spatial correlations. Spatial correlation is asserted when two features tend to occur at the same relative position of each other. This learning scheme results in a graphical model that allows a probabilistic representation of a flexible visual feature hierarchy. For feature detection, evidence is propagated using Nonparametric Belief Propagation (NBP), a recent generalization of particle filtering. In experiments, the proposed approach demonstrates efficient learning and robust detection of object models in the presence of clutter and occlusion and under view point changes.

关键词： Statistical learning Graphical models computer vision Learning systems Belief propagation Application software Statistical analysis Filtering Robustness Object detection

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A generative model of human hair for hair sketching

A generative model of human hair for hair sketching

引用

conference on computer vision and pattern recognition (cvpr)

作者： H. Chen S.C. Zhu Department of Statistics and Computer Science University of California Los Angeles USA

ISBN: (纸本)0769523722

Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we propose a generative model for hair representation and hair sketching, which is far more compact than the physically based models in graphics. We decompose a color hair image into three bands: a color band (a) (by Luv transform), a low frequency band (b) for lighting variations, and a high frequency band (c) for the hair pattern. Then we propose a three level generative model for the hair image (c). In this model, image (c) is generated by a vector field (d) that represents hair orientation, gradient strength, and directions; and this vector field is in turn generated by a hair sketch layer (e). We identify five types of primitives for the hair sketch each specifying the orientations of the vector field on the two sides of the sketch. With the five-layer representation (a-e) computed, we can reconstruct vivid hair images and generate hair sketches. We test our algorithm on a large data set of hairs and some results are reported in the experiments.

关键词： Hair Humans Graphics Image reconstruction pattern recognition Frequency Image generation Animation Image color analysis Statistics

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RGB-Z: mapping a sparse depth map to a high resolution RGB camera image

RGB-Z: mapping a sparse depth map to a high resolution RGB c...

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Rafii C. Rossbach P. Zhao Canesta Inc. USA

The video stream from a commercial RGB camera is mapped to a semi-synchronous video stream of a time-of-flight Z-depth camera to produce a composite RGB-Z video stream. The combined image is rendered to show both the color and depth effects of the scene. Each pixel of the composite image provides both RGB encoding and Z depth in real-world coordinates. The data is useful for both machine vision and consumer imaging applications. The RGB brightness data provides detailed image of the scene including textures, colors and ambient light information. The time-of-flight depth camera provides additional information about the relative location and size of objects independent of texture and ambient-light condition. The demo shows several 3D rendering technique including wire-frame and color shading.

关键词： Image resolution Cameras Streaming media Layout Pixel Brightness Rendering (computer graphics) Inference algorithms Signal resolution Infrared detectors

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