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Riemannian manifold optimisation for non-rigid structure from motion

Riemannian manifold optimisation for non-rigid structure fro...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Appu Shaji Sharat Chandran Computer Science and Engineering Department Indian Institute of Technology Bombay India

This paper address the problem of automatically extracting the 3D configurations of deformable objects from 2D features. Our focus in this work is to build on the observation that the subspace spanned by the motion parameters is a subset of a smooth manifold, and therefore we hunt for the solution in this space, rather than use heuristics (as previously attempted earlier). We succeed in this by attaching a canonical Riemannian metric, and using a variant of the non-rigid factorisation algorithm for structure from motion. We qualitatively and quantitatively show that our algorithm produces better results when compared to the state of art.

关键词： Shape Cameras Optimization methods Manifolds computer science Focusing Joining processes Art Encoding Noise shaping

来源：评论

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Not only size matters: Regularized partial matching of nonrigid shapes

Not only size matters: Regularized partial matching of nonri...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Alexander M. Bronstein Michael M. Bronstein Department of Computer Science Technion-Israel Institute of Technology Haifa Israel

Partial matching is probably one of the most challenging problems in nonrigid shape analysis. The problem consists of matching similar parts of shapes that are dissimilar on the whole and can assume different forms by undergoing nonrigid deformations. Conceptually, two shapes can be considered partially matching if they have significant similar parts, with the simplest definition of significance being the size of the parts. Thus, partial matching can be defined as a multicriterion optimization problem trying to simultaneously maximize the similarity and the size of these parts. In this paper, we propose a different definition of significance, taking into account the regularity of parts besides their size. The regularity term proposed here is similar to the spirit of the Mumford-Shah functional. Numerical experiments show that the regularized partial matching produces semantically better results compared to the non-regularized one.

关键词： Shape computer vision Horses computer science Application software pattern recognition computer graphics Search engines Frequency

来源：评论

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3D shape matching by geodesic eccentricity

3D shape matching by geodesic eccentricity

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Adrian Ion Nicole M. Artner Gabriel Peyre Salvador B. Lopez Marmol Walter G. Kropatsch Laurent Cohen PRIP University of Technology Vienna Austria Ceremade Universite Paris Dauphine France Smart Systems Division ARC Austria

This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to Euclidean motion and articulation. They show promising results for shape discrimination.

关键词： Shape Geophysics computing Histograms Discrete transforms computer aided manufacturing Virtual reality Topology Grid computing computer vision Character recognition

来源：评论

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Efficient anisotropic α-Kernels decompositions and flows

Efficient anisotropic α-Kernels decompositions and flows

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Micha Feigin Nir Sochen Baba C. Vemuri School of Mathematics Tel-Aviv University Israel Department of Computer &Information Science & Engineering University of Florida USA

The Laplacian raised to fractional powers can be used to generate scale spaces as was shown in recent literature. This was later extended for inhomogeneous diffusion processes and more general functions of the Laplacian and studied for the Perona-Malik case. In this paper we extend the results to the truly anisotropic Beltrami flow. We additionally introduce a technique for splitting up the work into smaller patches of the image which greatly reduce the computational complexity and allow for the parallelization of the algorithm. Important issues involved in the numerical implementation are discussed.

关键词： Anisotropic magnetoresistance Laplace equations Eigenvalues and eigenfunctions Mathematics Power generation Space heating Symmetric matrices Graph theory Power engineering computing Information science

来源：评论

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Technique for automatic emotion recognition by body gesture analysis

Technique for automatic emotion recognition by body gesture ...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Donald Glowinski Antonio Camurri Gualtiero Volpe Nele Dael Klaus Scherer InfoMus Laboratory Casa Paganini University of Genoa Genoa Italy Swiss Centre for Affective Sciences CISA University of Genova Geneva Switzerland

This paper illustrates our recent work on the analysis of expressive gesture related to the motion of the upper body (the head and the hands) in the context of emotional portrayals performed by professional actors. An experiment is presented which is the result of a multidisciplinary joint work. The experiment aims at (i) developing models and algorithms for analysis of such expressive content (ii) individuating which motion cues are involved in conveying the actorpsilas expressive intentions to portray four emotions (anger, joy, relief, sadness) via a scenario approach. The paper discusses the experiment in detail with reference to related conceptual issues, developed techniques, and the obtained results.

关键词： Emotion recognition Humans Motion analysis Algorithm design and analysis Performance analysis Psychology Information analysis Data mining Auditory displays computer science

来源：评论

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A Probabilistic Fusion Approach to human age prediction

A Probabilistic Fusion Approach to human age prediction

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Guodong Guo Yun Fu Charles R. Dyer Thomas S. Huang Computer Science NCCU Durham NC USA Beckman Institute UIUC Urbana IL USA Computer Sciences University of Wisconsin Madison Madison WI USA

Human age prediction is useful for many applications. The age information could be used as a kind of semantic knowledge for multimedia content analysis and understanding. In this paper we propose a probabilistic fusion approach (PFA) that produces a high performance estimator for human age prediction. The PFA framework fuses a regressor and a classifier. We derive the predictor based on Bayespsila rule without the mutual independence assumption that is very common for traditional classifier combination methods. Using a sequential fusion strategy, the predictor reduces age estimation errors significantly. Experiments on the large UIUC-IFP-Y aging database and the FG-NET aging database show the merit of the proposed approach to human age prediction.

关键词： Aging Image databases Feature extraction Application software Information analysis Face recognition Human computer interaction Internet Image retrieval pattern recognition

来源：评论

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Multi-scale interest regions from unorganized point clouds

Multi-scale interest regions from unorganized point clouds

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Ranjith Unnikrishnan Martial Hebert Carnegie Mellon University Pittsburgh PA USA

Several computer vision algorithms rely on detecting a compact but representative set of interest regions and their associated descriptors from input data. When the input is in the form of an unorganized 3D point cloud, current practice is to compute shape descriptors either exhaustively or at randomly chosen locations using one or more preset neighborhood sizes. Such a strategy ignores the relative variation in the spatial extent of geometric structures and also risks introducing redundancy in the representation. This paper pursues multi-scale operators on point clouds that allow detection of interest regions whose locations as well as spatial extent are completely data-driven. The approach distinguishes itself from related work by operating directly in the input 3D space without assuming an available polygon mesh or resorting to an intermediate global 2D parameterization. Results are shown to demonstrate the utility and robustness of the proposed method.

关键词： Shape Three-dimensional displays computer vision Collaboration Lattices Filters Mesh generation Robustness Object recognition

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Detecting and locating crosswalks using a camera phone

Detecting and locating crosswalks using a camera phone

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Volodymyr Ivanchenko James Coughlan Huiying Shen Smith-Kettlewell Eye Research Institute San Francisco CA USA

Urban intersections are the most dangerous parts of a blind or visually impaired personpsilas travel. To address this problem, this paper describes the novel ldquoCrosswatchldquo system, which uses computer vision to provide information about the location and orientation of crosswalks to a blind or visually impaired pedestrian holding a camera cell phone. A prototype of the system runs on an off-the-shelf Nokia N95 camera phone in real time, which automatically takes a few images per second, analyzes each image in a fraction of a second and sounds an audio tone when it detects a crosswalk. Real-time performance on the cell phone, whose computational resources are limited compared to the type of desktop platform usually used in computer vision, is made possible by coding in Symbian C++. Tests with blind subjects demonstrate the feasibility of the system.

关键词： Cameras Cellular phones Image segmentation computer vision Prototypes Real time systems System testing Markov random fields Graphical models Image analysis

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Principal appearance and motion from boosted spatiotemporal descriptors

Principal appearance and motion from boosted spatiotemporal ...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Guoying Zhao Matti Pietikainen Infotech Oulu and Department of Electrical and Information Engineering Machine Vision Group Finland

Feature definition and selection are two important aspects in visual analysis of motion. In this paper, spatiotemporal local binary patterns computed at multiple resolutions are proposed for describing dynamic events, combining static and dynamic information from different spatiotemporal resolutions. Appearance and motion are the key components for visual analysis related to movements. AdaBoost algorithm is utilized for learning the principal appearance and motion from spatiotemporal descriptors derived from three orthogonal planes, providing important information about the locations and types of features for further analysis. In addition, learners are designed for selecting the most important features for each specific pair of different classes. The experiments carried out on diverse visual analysis tasks: facial expression recognition and visual speech recognition, show the effectiveness of the approach.

关键词： Spatiotemporal phenomena Motion analysis Face recognition Humans Speech recognition Videos Feature extraction Boosting Information analysis Principal component analysis

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Template-based paper reconstruction from a single image is well posed when the rulings are parallel

Template-based paper reconstruction from a single image is w...

引用

ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Pierluigi Taddei Adrien Bartoli Politecnico di Milano Milan Italy LASMEA (CNRS UBP) Clermont Ferrand France

We deal with the 3D reconstruction of deformed paperlike surfaces given a template and a single perspective image, for which the internal camera parameters are known. The general problem is ill-posed. We show that when the surface rulings are parallel the problem is well-posed. Given a procedure to recover the rulings direction, this particular problem is equivalent to the reconstruction of a 2D curve seen from a set of ID camera pairs given a ID template. Paper can be physically modeled by exploiting local properties. This allows us to formulate the reconstruction problem by non linear variational optimization. We provide experimental results which validate our approach on simulated and real data.

关键词： Image reconstruction Surface reconstruction Cameras Boundary conditions Deformable models Head Shape Books Closed-form solution computer vision

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