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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"

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Online selecting discriminative tracking features using particle filter

Online selecting discriminative tracking features using part...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Jianyu Wang Xilin Chen Wen Gao School of Computer Science and Technology Harbin Institute of Technology Harbin China JDL Institute of Computing Chinese Academy and Sciences Beijing China

ISBN: (纸本)0769523722

The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature selection procedure is embedded into the particle filtering process with the aid of existed "background" particles. Feature values from background patches and object observations are sampled during tracking and Fisher discriminant is employed to rank the classification capacity of each feature based on sampled values. Top-ranked discriminative features are selected into the appearance model and simultaneously invalid features are removed out to adjust the object representation adaptively. The implemented tracker with online discriminative feature selection module embedded shows promising results on experimental video sequences.

关键词： Particle tracking Particle filters Histograms Computational efficiency Space technology Robustness Gabor filters computer science Filtering Video sequences

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Weakly Supervised Top-down Image Segmentation

Weakly Supervised Top-down Image Segmentation

引用

conference on computer vision and pattern recognition (cvpr)

作者： M. Vasconcelos N. Vasconcelos G. Carneiro Statistical Visual Computing Lab University of California San Diego USA Statistical Visual Computing Lab University of California San Diego

There has recently been significant interest in top-down image segmentation methods, which incorporate the recognition of visual concepts as an intermediate step of segmentation. This work addresses the problem of top-down segmentation with weak supervision. Under this framework, learning does not require a set of manually segmented examples for each concept of interest, but simply a weakly labeled training set. This is a training set where images are annotated with a set of keywords describing their contents, but visual concepts are not explicitly segmented and no correspondence is specified between keywords and image regions. We demonstrate, both analytically and empirically, that weakly supervised segmentation is feasible when certain conditions hold. We also propose a simple weakly supervised segmentation algorithm that extends state-of-theart bottom-up segmentation methods in the direction of perceptually meaningful segmentation1.

关键词： Image segmentation Humans Layout Image databases Vegetation mapping Data systems Image recognition computer vision Statistics Computational efficiency

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3D face recognition using distinctiveness enhanced facial representations and local feature hybrid matching

3D face recognition using distinctiveness enhanced facial re...

引用

ieee International conference on Biometrics: Theory, Applications and Systems

作者： Huang, Di Zhang, Guangpeng Ardabilian, Mohsen Wang, Yunhong Chen, Liming MI Department LIRIS Laboratory CNRS 5205 69134 Lyon France School of Computer Science and Engineering Beihang University 100091 Beijing China

ISBN: (纸本)9781424475803

This paper presents a simple yet effective approach for 3D face recognition. A novel 3D facial surface representation, namely Multi-Scale Local Binary pattern (MS-LBP) Depth Map, is proposed, which is used along with the Shape Index (SI) Map to increase the distinctiveness of smooth range faces. Scale Invariant Feature Transform (SIFT) is introduced to extract local features to enhance the robustness to pose variations. Moreover, a hybrid matching is designed for a further improved accuracy. The matching scheme combines local and holistic analysis. The former is achieved by comparing the SIFT-based features extracted from both 3D facial surface representations;while the latter performs a global constraint using facial component and configuration. Compared with the state-of-the-art, the proposed method does not require time-consuming accurate registration or any additional data in a bootstrap for training special thresholds. The rank-one recognition rate achieved on the complete FRGC v2.0 database is 96.1%. As a result of using local facial features, the approach proves to be competent for dealing with partially occluded face probes as highlighted by supplementary experiments using face masks. © 2010 ieee.

关键词： Local binary pattern

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Space-time isosurface evolution for temporally coherent 3D reconstruction

Space-time isosurface evolution for temporally coherent 3D r...

引用

conference on computer vision and pattern recognition (cvpr)

作者： B. Goldluecke M. Magnor Graphics-Optics-Vision Max Planck Institut für Informatik Saarbruecken Germany

We model the dynamic geometry of a time-varying scene as a 3D isosurface in space-time. The intersection of the isosurface with planes of constant time yields the geometry at a single time instant. An optimal fit of our model to multiple video sequences is defined as the minimum of an energy functional. This functional is given by an integral over the entire hypersurface, which is designed to optimize photo-consistency. A PDE-based evolution derived from the Euler-Lagrange equation maximizes consistency with all of the given video data simultaneously. The result is a 3D model of the scene which varies smoothly over time. The geometry reconstructed by this scheme is significantly better than results obtained by space-carving approaches that do not enforce temporal coherence.

关键词： Isosurfaces Layout Image reconstruction Geometry Surface reconstruction Solid modeling Level set Rendering (computer graphics) Video sequences Equations

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Using the inner-distance for classification of articulated shapes

Using the inner-distance for classification of articulated s...

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conference on computer vision and pattern recognition (cvpr)

作者： H. Ling D.W. Jacobs Computer Science Department University of Maryland College Park USA

We propose using the inner-distance between landmark points to build shape descriptors. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that the inner-distance is articulation insensitive and more effective at capturing complex shapes with part structures than Euclidean distance. To demonstrate this idea, it is used to build a new shape descriptor based on shape contexts. After that, we design a dynamic programming based method for shape matching and comparison. We have tested our approach on a variety of shape databases including an articulated shape dataset, MPEG7 CE-Shape-1, Kimia silhouettes, a Swedish leaf database and a human motion silhouette dataset. In all the experiments, our method demonstrates effective performance compared with other algorithms.

关键词： Euclidean distance Dynamic programming Databases Shape measurement Testing Jacobian matrices computer science Educational institutions MPEG 7 Standard Humans

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Hierarchical part-based visual object categorization

Hierarchical part-based visual object categorization

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conference on computer vision and pattern recognition (cvpr)

作者： G. Bouchard B. Triggs LEAR GRAVIR-INRIA Montbonnot France

We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linking parts to subparts, soft assignment of subparts to parts, and scale invariant keypoint based local features at the lowest level of the hierarchy. The method is designed to efficiently handle categories containing hundreds of redundant local features, such as those returned by current key-point detectors. This robustness allows it to outperform constellation style models, despite their stronger spatial models. The model is initialized by robust bottom-up voting over location-scale pyramids, and optimized by expectation-maximization. Training is rapid, and objects do not need to be marked in the training images. Experiments on several popular datasets show the method's ability to capture complex natural object classes.

关键词： Solid modeling Biological system modeling Detectors Robustness Humans Shape computer vision Geometry Joining processes Design methodology

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Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

Using Multiple Segmentations to Discover Objects and their E...

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conference on computer vision and pattern recognition (cvpr)

作者： B.C. Russell W.T. Freeman A.A. Efros J. Sivic A. Zisserman CS and AI Laboratory Massachusetts Institute of Technology Cambridge MA USA School of Computer Science Carnegie Mellon University Pittsburgh PA USA Department of Engineering Science University of Oxford Oxford UK

Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation. To achieve this we combine two ideas: (i) that a set of segmented objects can be partitioned into visual object classes using topic discovery models from statistical text analysis; and (ii) that visual object classes can be used to assess the accuracy of a segmentation. To tie these ideas together we compute multiple segmentations of each image and then: (i) learn the object classes; and (ii) choose the correct segmentations. We demonstrate that such an algorithm succeeds in automatically discovering many familiar objects in a variety of image datasets, including those from Caltech, MSRC and LabelMe.

关键词： Image segmentation Layout Image recognition Text analysis Artificial intelligence Laboratories computer science Object recognition Concrete Information retrieval

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A fast multigrid implicit algorithm for the evolution of geodesic active contours

A fast multigrid implicit algorithm for the evolution of geo...

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conference on computer vision and pattern recognition (cvpr)

作者： G. Papandreou P. Maragos School of Electrical and Computer Engin National and Technical University of Athens Athens Greece

Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours and compare it with other established numerical schemes. The new algorithm employs a full time-implicit and unconditionally stable numerical scheme and applies multigrid methods for the efficient solution of the occurring sparse linear system. When we utilize very big time-steps for the numerical evolution of the front, the proposed scheme has increased accuracy and better rotational invariance properties compared with the alternative AOS scheme. This allows for the rapid evolution and convergence of the contour to its final configuration after only very few iterations. Standard pyramidal and/or narrowband techniques can be easily integrated into our algorithm and further accelerate the curve evolution. Experimental results in object boundary detection demonstrate the power of the method.

关键词： Active contours computer vision Object detection Level set Geophysics computing Narrowband Solid modeling Stability Multigrid methods Linear systems

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Efficient image matching with distributions of local invariant features

Efficient image matching with distributions of local invaria...

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conference on computer vision and pattern recognition (cvpr)

作者： K. Grauman T. Darrell Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology USA

Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature sets' similarity via a voting scheme (which ignores co-occurrence statistics) or by comparing histograms over a set of prototypes (which must be found by clustering). We present a method for efficiently comparing images based on their discrete distributions (bags) of distinctive local invariant features, without clustering descriptors. Similarity between images is measured with an approximation of the Earth Mover's Distance (EMD), which quickly computes minimal-cost correspondences between two bags of features. Each image's feature distribution is mapped into a normed space with a low-distortion embedding of EMD. Examples most similar to a novel query image are retrieved in time sublinear in the number of examples via approximate nearest neighbor search in the embedded space. We evaluate our method with scene, object, and texture recognition tasks.

关键词： Image matching Voting Image databases Prototypes Spatial databases Histograms Layout computer vision Image retrieval Frequency

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Video-based Human Action *** with Ambiguous Correspondences

引用

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

作者： Zhou Feng Tat-Jen Cham School of Computer Engineering Nanyang Technological University Singapore

This paper describes a combined tracking-classification framework for the unsupervised classification of human action. While most existing approaches assume that featurewise correspondences on people are either available or not at all, this method explicitly formalizes how the probability of correspondences can be used in computation when the correspondences are ambiguous. It is also able to exploit in a probabilistic manner any foreground-background preprocessed segmentation, even if the segmentation is of low confidence. A principled analysis of the problem leads to a novel probabilistic action representation called the correspondence-ambiguous feature histogram array (CAFHA) that is robust to variations across similar actions. Our results show that the new framework outperforms the recent Zelnik-Manor and Irani method [19] for unsupervised event classi?cation. Additionally, the framework is extended to quasi real-time action inference, achieving good recognition accuracy despite changes in person identity and variations in the actions.

关键词： Humans Unsupervised learning Biological system modeling State estimation Video sequences Kinematics Motion analysis Feature extraction pattern recognition computer errors

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