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Transitivity-based removal of correspondence outliers for motion analysis

Transitivity-based removal of correspondence outliers for mo...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Robles-Kelly, Antonio Moses, Yael RSISE Bldg. 115 ANU Canberra ACT 0200 Australia School of Computer Science Interdisciplinary Center Herzliya 46150 Israel

ISBN: (纸本)0769526462

In this paper we address the problem of removing correspondence outliers in a sequence of images. The input to the system is a set of putative matches which are based upon image-feature similarity. Classical methods for outlier removal, such as RANSAC-based approaches, assume consistency and rigidity in the scene motion between two or three frames in the sequence. Here we propose a novel method for removing correspondence outliers that does not depend on such assumptions. Our method is based on the observation that correspondence is an equivalence relation, and, hence, transitivity must hold between corresponding features in different frames. We impose consistency on the transitivity by representing the matching information as a weighted graph with positive and negative edge-weights. Consistency is then enforced by partitioning the nodes in the graph so as to remove edges corresponding to false-positive correspondences. The clustering algorithm is of spectral nature and can handle graphs whose edge-weights are non-positive. Our method is a general one that can be used for purposes of outlier removal from correspondences between any entities whose putative matches imply equivalence relations. We illustrate the utility of the method for purposes of outlier removal on a real-world image sequence and compare our results with those yield using an alternative. © 2006 ieee.

关键词： Motion estimation

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vision-based projection-handwriting integration in classroom

Vision-based projection-handwriting integration in classroom

引用

2006 conference on computer vision and pattern recognition workshops

作者： Li, Weihong Tang, Hao Zhu, Zhigang Graduate Center City University of New York New York NY 10016 City College City University of New York New York NY 10031 Graduate Center City College City University of New York New York NY 10031

ISBN: (纸本)0769526462

A projector based presentation and a whiteboard handwriting capture system, when monitored by a camera, could provide a better means to present a lecture in a classroom and later to deliver more effective e-lectures for off-campus students. When the PowerPoint© (PPT) slides are projected on the whiteboard where the instructor annotates, modifies, or expands the PPT presentation, geometrically registering high-resolution images from the two sources yields high quality digital presentations. Since the two sources do not share the same materials, one with printing notes and the other with handwriting notes, a digital camera is used as a bridge to align the two sources, as well as to record the whole lecture. We present a hybrid registration approach to align the PPT and handwriting images and then propose a coarse-to-fine content matching method to register handwriting contents captured by the video camera and the whiteboard capture system. We also show an integrated user-customized presentation system to provide students better lecturing context. Experimental results are presented to validate our approach, and future research directions are also discussed. © 2006 ieee.

关键词： Projection systems

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Multi-aspect detection of articulated objects

Multi-aspect detection of articulated objects

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Seemann, Edgar Leibe, Bastian Schiele, Bernt Computer Science Department Darmstadt University of Technology

ISBN: (纸本)0769525970

A wide range of methods have been proposed to detect and recognize objects. However, effective and efficient multiviewpoint detection of objects is still in its infancy, since most current approaches can only handle single viewpoints or aspects. This paper proposes a general approach for multiaspect detection of objects. As the running example for detection we use pedestrians, which add another difficulty to the problem, namely human body articulations. Global appearance changes caused by different articulations and viewpoints of pedestrians are handled in a unified manner by a generalization of the Implicit Shape Model [5]. An important property of this new approach is to share local appearance across different articulations and viewpoints, therefore requiring relatively few training samples. The effectiveness of the approach is shown and compared to previous approaches on two datasets containing pedestrians with different articulations and from multiple viewpoints. © 2006 ieee.

关键词： Object recognition

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Automatic kinematic chain building from feature trajectories of articulated objects

Automatic kinematic chain building from feature trajectories...

引用

2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Yan, Jingyu Pollefeys, Marc Department of Computer Science University of North Carolina at Chapel Hill Chapel Hill NC 27599

ISBN: (纸本)0769525970

We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this possibility by proposing an algorithm which first segments the trajectories by local sampling and spectral clustering, then builds the kinematic chain as a minimum spanning tree of a graph constructed from the segmented motion subspaces. We test our method in challenging data sets and demonstrate the ability to automatically build the kinematic chain of an articulated object from feature trajectories. The algorithm also works when there are multiple articulated objects in the scene. Furthermore, we take into account non-rigid articulated parts that exist in human motions. We believe this advance will have impact on articulated object tracking and dynamical structure from motion. © 2006 ieee.

关键词： Object recognition

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Statistical analysis of local 3D structure in 2D images

Statistical analysis of local 3D structure in 2D images

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Kalkan, Sinan Wörgötter, Florentin Krüger, Norbert Bernstein Centre for Computational Neuroscience University of Göttingen Germany Cognitive Vision Group Aalborg University Copenhagen Denmark

ISBN: (纸本)0769525970

For the analysis of images, a deeper understanding of their intrinsic structure is required. This has been obtained for 2D images by means of statistical analysis [15, 18]. Here, we analyze the relation between local image structures (i.e., homogeneous, edge-like, corner-like or texture-like structures) and the underlying local 3D structure, represented in terms of continuous surfaces and different kinds of 3D discontinuities, using 3D range data with the true color information. We find that homogeneous image patches correspond to continuous surfaces, and discontinuities are mainly formed by edge-like or comer-like structures. The results are discussed with regard to existing and potential computer vision applications and the assumptions made by these applications. © 2006 ieee.

关键词： Three dimensional computer graphics

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Incorporating the Boltzmann prior in object detection using SVM

Incorporating the Boltzmann prior in object detection using ...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Osadchy, Margarita Keren, Daniel Computer Science Department University of Haifa Mount Carmel Haifa 31905 Israel

ISBN: (纸本)0769525970

In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of natural images into support vector machines. SVMs are known to be robust to overfitting;however, a few training examples usually do not represent well the structure of the class. Thus the resulting detectors are not robust and highly depend on the choice of the training examples. We incorporate the prior on natural images by requiring that the separating hyperplane will not only yield a wide margin, but also that the corresponding positive half space will have a low probability to contain natural images (the background). Our experiments on real data sets show that the resulting detector is more robust to the choice of training examples, and substantially improves both linear and kernel SVM when trained on 10 positive and 10 negative examples. © 2006 ieee.

关键词： Object recognition

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Fast human detection using a cascade of histograms of oriented gradients

Fast human detection using a cascade of histograms of orient...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Zhu, Qiang Avidan, Shai Yeh, Mei-Chen Cheng, Kwang-Ting Electrical and Computer Engineering Department University of California Santa Barbara CA 93106 United States Mitsubishi Electric Research Laboratories 201 Broadway Cambridge MA 02139 United States

ISBN: (纸本)0769525970

We integrate the cascade-of-rejectors approach with the Histograms of Oriented Gradients (HoG) features to achieve a fast and accurate human detection system. The features used in our system are HoGs of variable-size blocks that capture salient features of humans automatically. Using AdaBoost for feature selection, we identify the appropriate set of blocks, from a large set of possible blocks. In our system, we use the integral image representation and a rejection cascade which significantly speed up the computation. For a 320 × 250 image, the system can process 5 to 30 frames per second depending on the density in which we scan the image, while maintaining an accuracy level similar to existing methods. © 2006 ieee.

关键词： Face recognition

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Characterizing fMRI activations within regions of interest (ROIs) using 3D moment invariants

Characterizing fMRI activations within regions of interest (...

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2006 conference on computer vision and pattern recognition workshops

作者： Ng, Bernard Abugharbieh, Rafeef Huang, Xuemei McKeown, Martin J. Department of Electrical and Computer Engineering Pacific Parkinson's Research Center University of British Columbia Vancouver BC Department of Neurology University of North Carolina School of Medicine Chapel Hill NC Pacific Parkinson's Research Center University of British Columbia Vancouver BC

ISBN: (纸本)0769526462

A novel method is proposed for characterizing spatial distribution changes in functional magnetic resonance imaging (fMRI) activation statistics under different experimental conditions. The proposed technique, based on three dimensional (3D) invariant moment descriptors, was applied to fMRI data recorded from eight healthy subjects performing internally or externally-cued finger tapping sequences. Voxel-based activation statistics were characterized in several regions of interest (ROIs), including the supplementary motor area (SMA), cerebellum, primary motor cortex, prefrontal cortex, and caudate. Examining the activation patterns of these neural regions using 3D moment invariants revealed that the patterns of activation regions were significantly different during externally and internally cued tasks when computed across subjects. In contrast, traditional methods that are based on amplitude of the activation statistics demonstrated reduced discriminability. The results suggest that the spatial distribution of activation is a more sensitive measure of activation changes, and complements conventional fMRI analyses. © 2006 ieee.

关键词： Magnetic resonance imaging

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Online tracking of migrating and proliferating cells imaged with phase-contrast microscopy

Online tracking of migrating and proliferating cells imaged ...

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2006 conference on computer vision and pattern recognition workshops

作者： Li, Kang Miller, Eric D. Weiss, Lee E. Campbell, Phil G. Kanade, Takeo Department of Electrical and Computer Engineering Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 Department of Biomedical Engineering Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 Robotics Institute Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 Institute for Complex Engineered Systems Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213

ISBN: (纸本)0769526462

Automated visual-tracking of cell population in vitro using phase-contrast time-lapse microscopy is vital for the quantitative and systematic study of cell behaviors, including spatiotemporal quantification of migration, proliferation, and apoptosis. The low image quality, high and varying density of the cell culture, and the complexity of cell behaviors pose many challenges to existing tracking techniques. This paper presents a fully-automated multi-target tracking system that can simultaneously track hundreds of cells and efficiently cope with these challenges. The approach exploits a fast topology-constrained level-set method in conjunction with a stochastic motion filter, with a careful formulation that makes it suitable for real-time tracking during acquisition. Our methodology was applied to human tissue cell tracking in vitro under various imaging conditions and yielded a 88.4% tracking accuracy. © 2006 ieee.

关键词： Tracking (position)

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Bottom-up & top-down object detection using primal sketch features and graphical models

Bottom-up & top-down object detection using primal sketch fe...

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2006 ieee computer society conference on computer vision and pattern recognition, CVPR 2006

作者： Kokkinos, Iasonas Maragos, Petros Yuille, Alan School of Electrical and Computer Engineering National Technical University of Athens Department of Statistics and Psychology University of California Los Angeles

ISBN: (纸本)0769525970

A combination of techniques that is becoming increasingly popular is the construction of part-based object representations using the outputs of interest-point detectors. Our contributions in this paper are twofold: first, we propose a primal-sketch-based set of image tokens that are used for object representation and detection. Second, top-down information is introduced based on an efficient method for the evaluation of the likelihood of hypothesized part locations. This allows us to use graphical model techniques to complement bottom-up detection, by proposing and finding the parts of the object that were missed by the front-end feature detection stage. Detection results for four object categories validate the merits of this joint top-down and bottom-up approach. © 2006 ieee.

关键词： Object recognition

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