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检索条件"任意字段=Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing."

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Local analysis for 3D reconstruction of specular surfaces

Local analysis for 3D reconstruction of specular surfaces

引用

conference on computer Vision and pattern recognition (CVPR)

作者： S. Savarese P. Perona California Institute of Technology Pasadena CA USA

ISBN: (纸本)0769512720

We explore the geometry linking the shape of a curved mirror surface to the distortions it produces on a scene it reflects. Our analysis is local and differential. We assume a simple calibrated scene composed of lines passing through a point. We demonstrate that local information about the geometry of the surface may be recovered up to the second order from either the orientation and curvature of the images of two intersecting lines, or from the orientation of the images of three or more intersecting lines. An explicit solution for calculating shape and position of spherical mirror surfaces is given.

关键词： Surface reconstruction Shape Mirrors image reconstruction Layout Information geometry Optical reflection pattern analysis Cameras Postal services

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Critical configurations for n-view projective reconstruction

Critical configurations for n-view projective reconstruction

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conference on computer Vision and pattern recognition (CVPR)

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

ISBN: (纸本)0769512720

In this paper we give a characterization of critical configurations for projective reconstruction with any number of points and views. A set of cameras and points is said to be critical if the projected image points are insufficient to determine the placement of the points and the cameras uniquely, up to a projective transformation. For two views, the critical configurations are well-known. In this paper it is shown that a configuration of n 3 cameras and in points all lying on the intersection of two distinct ruled quadrics is critical. In distinction to the two-view case, which in general allows two alternative solutions, there is a family of ambiguous reconstructions for the n-view case. As a partial converse, it Is shown that for any critical configuration, all the points lie on the intersection of two ruled quadrics.

关键词： Cameras image reconstruction Surface reconstruction image converters computer vision Shape Inverse problems Extraterrestrial measurements Surface treatment Terminology

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Adaptive binning and dissimilarity measure for image retrieval and classification

Adaptive binning and dissimilarity measure for image retriev...

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conference on computer Vision and pattern recognition (CVPR)

作者： Wee Kheng Leow Rui Li School of Computing National University of Singapore Singapore Singapore

ISBN: (纸本)0769512720

Color histogram is an important part of content-based image retrieval systems. It is a common understanding that histograms that adapt to images can represent their color distributions more efficiently than histograms with fixed binnings. However, among existing dissimilarity measures, only the Earth Mover's Distance can compare histograms with different binnings. This paper presents a detailed quantitative study of fixed and adaptive binnings and the corresponding dissimilarity measures. An efficient dissimilarity measure is proposed for comparing histograms with different binnings. Extensive test results show that adaptive binning and dissimilarity produce the best overall performance, in terms of good accuracy, small number of bins, no empty bin, and efficient computation, compared to existing fixed binning schemes and dissimilarity measures.

关键词： image retrieval Histograms Earth Content based retrieval Testing Clustering algorithms Partitioning algorithms image classification Quantization Motion measurement

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Discrimination of motion based on traces in the space of probability functions over feature relations

Discrimination of motion based on traces in the space of pro...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： S. Sarkar I.R. Vega Computer Science and Engineering Department University of South Florida Tampa FL USA

ISBN: (纸本)0769512720

In this paper we demonstrate that it is possible to discriminate between high level motion types such as walking, jogging, or running based on just the change in the relational statistics among the detected image features, without the need for object models, perfect segmentation, or tracking. Instead of the statistics of the feature attributes themselves, we consider the distribution of the statistics of the relations among the features. We represent the observed distribution of feature relations in an image as a point in a space where the Euclidean distance is related to the Bhattacharya distance between probability functions. Different motion types sweep out different traces in this Space of Probability Functions (SoPF). We demonstrate the effectiveness of this representation on image sequences of human in motion, gathered using a digital video camera. We show that it is not only possible to distinguish between motion types but also to discriminate between persons based on the SoPF traces.

关键词： Probability Statistical distributions Legged locomotion Object detection Motion detection computer vision image segmentation Tracking Euclidean distance image sequences

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Separation of diffuse and specular reflection in color images

Separation of diffuse and specular reflection in color image...

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conference on computer Vision and pattern recognition (CVPR)

作者： S. Lin Heung-Yeung Shum Microsoft Research Limited China

ISBN: (纸本)0769512720

The presence of specular reflections in images can lead many traditional computer vision algorithms to produce erroneous results. To address this problem, we propose a method based on the neutral interface reflection model for separating the diffuse and specular reflection components in color images. From two photometric images without calibrated lighting, the illuminant chromaticity is estimated, and the RGB intensities of the two reflection components are computed for each pixel using a linear model of surface reflectance. Unlike most previous methods, the presented technique does not assume any dependencies among pixels, such as regionally uniform surface reflectance.

关键词： Color Optical reflection Reflectivity Photometry Pixel Fresnel reflection Optical polarization computer vision Lighting image segmentation

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Application of Hough transform for the identification of secondary flow patterns

Application of Hough transform for the identification of sec...

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ieee Region 10 International conference TENCON

作者： Chun Che Fung Kien-Ping Chung D. Myers School of Electrical and Computer Engineering Curtin University of Technology Bentley WA Australia

This paper reports the application of Hough transform image processing.technique to identify the existence of secondary flow patterns in a curved channel. When a fluid is forced through a passage with curvature, secondary flow appearing in spiral motion will superimpose on the main flow. Such phenomena are commonly found in many heat exchange equipment. While secondary flow promotes mixing of the fluids, thereby improving the heat exchange efficiency, limited attempts were made to improve the heat exchange process through the control of the secondary flow. In addition to the highly complex nature of the secondary heat transfer process, it is difficult to quantify or measure the extent of the secondary flow. Hence, much research and investigations have concentrated on the study of the exact mechanism and characteristics of the secondary flow. A novel approach using an image processing.technique based on the Hough transform is used to locate and extent of the secondary vortices. The Hough transform, is used to capture the secondary flow system pattern and then it is used to reconstruct the boundary of the secondary flow patterns.

关键词： image processing Heat transfer image reconstruction Temperature control pattern recognition Spirals Process control Fluid flow measurement Resistance heating Heat engines

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Optimal adaptive learning for image retrieval

Optimal adaptive learning for image retrieval

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Tao Wang Yong Rui Shi-Min Hu Department of Computer Science and Technology Tsinghua University Beijing China Microsoft Research Limited Redmond WA USA

ISBN: (纸本)0769512720

Learning-enhanced relevance feedback is one of the most promising and active research directions in content-based image retrieval. However, the existing approaches either require prior knowledge of the data or entail high computation costs, making them less practical. To overcome these difficulties and motivated by the successful history of optimal adaptive filters, we present a new approach to interactive image retrieval. Specifically, we cast the image retrieval problem in the optimal filtering framework, which does not require prior knowledge of the data, supports incremental learning, is simple to implement and achieves better performance than state-of-the-art approaches. To evaluate the effectiveness and robustness of the proposed approach, extensive experiments have been carried out on a large heterogeneous image collection with 17,000 images. We report promising results on a wide variety of queries.

关键词： image retrieval Feedback Information retrieval Machine learning Learning systems Content based retrieval Computational efficiency Humans History Adaptive filters

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Injection of human knowledge into the rejection criterion of a neural network classifier

Injection of human knowledge into the rejection criterion of...

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conference of the North American Fuzzy Information processing.society - NAFIPS

作者： Xuejing Wu C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Department of Computer Science Concordia University Montreal Canada

The purpose of unconstrained handwritten numeral recognition is to assign a numeral to one of ten classes or reject it. The challenge is to maintain a high performance and not to misrecognize confusing patterns. In some applications, it is desirable to reject a pattern instead of running the risk of misclassifying it. In order to improve the reliability of a single neural network classifier on confusing numerals, knowledge from five human experts is gathered and analyzed. A new way to construct database and represent the required output values in the output layer of MLP's training process is given in this paper. Experiments on a synthesized confusing database and a real database show that the proposed approach will facilitate the design of a highly reliable single neural network classifier.

关键词： Humans Neural networks Handwriting recognition Network synthesis image databases pattern recognition Maintenance Machine intelligence computer science Costs

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Illumination subspace for multibody motion segmentation

Illumination subspace for multibody motion segmentation

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conference on computer Vision and pattern recognition (CVPR)

作者： A. Maki H. Hattori Research and Development Center Toshiba Corporation Kawasaki Japan

ISBN: (纸本)0769512720

This paper presents a new method for automatically separating the motion of multiple independently moving objects in a sequence of images based on the notion of illumination subspace. We show that intensities of observed trajectories of image features on a single body lie on a linearly independent frame space with three, or fewer, dimensions. We then argue that it is possible in theory to determine the grouping of the feature points by way of separating the illumination subspaces. As a clue for practical separation, we also introduce the surface interaction matrix which is valid for Lambertian reflectance surface. Recently, several authors have presented different algorithms on this task of grouping by factorization-based procedures using the coordinates of image features. While the challenges in their approaches are to realize the robust performance in the presence of noise, we propose to incorporate the above photometric analysis available at given feature points in the conventional schemes of motion segmentation, and show that the performance is indeed stabilized through experiments on real and synthetic image sequences.

关键词： Lighting Motion segmentation computer vision Reflectivity Noise robustness Photometry image analysis image motion analysis image sequence analysis Performance analysis

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Appearance-based object recognition using multiple views

Appearance-based object recognition using multiple views

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conference on computer Vision and pattern recognition (CVPR)

作者： A. Selinger R.C. Nelson Department of Computer Science University of Rochester Rochester NY USA

ISBN: (纸本)0769512720

Object recognition from a single view fails when the available features are not sufficient to determine the identity of a single object, either because of similarity with another object or because of feature corruption due to clutter and occlusion. Active object recognition systems have addressed this problem successfully, but they require complicated systems with adjustable viewpoints that are not always available. In this paper we investigate the performance gain available by combining the results of a single view object recognition system applied to imagery obtained from multiple fixed cameras. In particular, we address performance in cluttered scenes with varying degrees of information about relative camera pose. We argue that a property common to many computer vision recognition systems, which we term a weak target error, is responsible for two interesting limitations of multi-view performance enhancement: the lack of significant improvement in systems whose single-view performance is weak, and the plateauing of performance improvement as additional multi-view constraints are added.

关键词： Object recognition Cameras Feature extraction image databases Spatial databases Voting computer science Performance gain Layout Target recognition

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