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Multi-view stereo revisited

Multi-view stereo revisited

引用

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

作者： Goesele, Michael Curless, Brian Seitz, Steven M. University of Washington

ISBN: (纸本)0769525970

We present an extremely simple yet robust multi-view stereo algorithm and analyze its properties. The algorithm first computes individual depth maps using a window-based voting approach that returns only good matches. The depth maps are then merged into a single mesh using a straight-forward volumetric approach. We show results for several datasets, showing accuracy comparable to the best of the current state of the art techniques and rivaling more complex algorithms. © 2006 ieee.

关键词： Stereo vision

来源：评论

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Hardware/software Co-design of an FPGA-based embedded tracking system

Hardware/software Co-design of an FPGA-based embedded tracki...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Schlessman, Jason Chen, Cheng-Yao Ozer, Burak Fujino, Kenji Itoh, Kazurou Wolf, Wayne Department of Electrical Engineering Princeton University Princeton NJ 08544 Verificon Corporation Princeton NJ 08540 Yokogawa Electric Corporation Tokyo Japan

ISBN: (纸本)0769526462

This paper discusses a practical design experience pertaining to a tracking system employing optical flow. The system was previously extracted from an existing software implementation and modified for FPGA deployment. Details are provided regarding transference of the resulting high-level design to a usable form for FPGA fabrics. Furthermore, discussion is given for obstacles made manifest in embedded vision design and the methods employed for overcoming them. This is attempted with the intent of maintaining a consistent level of vision algorithm performance as well as meeting real-time requirements. The system discussed differs from previous embedded systems employing optical flow in that it consists strictly of fully disclosed nonproprietary transferable components while providing performance measures for power consumption, latency, and area. The system was synthesized onto a Xilinx Virtex-II Pro XC2VP30 FPGA utilizing less than 25% of system resources, performing with a maximum operating frequency of 67MHz without pipelining, and consuming 497mW of power. © 2006 ieee.

关键词： computer hardware

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Integrating spatial and discriminant strength for feature selection and linear dimensionality reduction

Integrating spatial and discriminant strength for feature se...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Qi, Li Kambhamettu, Chandra Jieping, Ye Video/Image Modeling and Synthesis Lab. Computer Information and Sciences University of Delaware Computer Science and Engineering Arizona State University

ISBN: (纸本)0769526462

Interest strength assignment to image points is important for selecting good features. Strength assignments using spatial information aim to detect interest points repeatable across different image/illumination transformations, and have been widely adopted in many interest point detectors. Recently, strength assignment schemes using discriminant information received attention, and studies showed the superiority of discriminant strength. In this paper, we introduce a strength assignment scheme integrating spatial and discriminant information, with the motivation that strong spatial information can be helpful in improving the robustness of the discriminant strength estimation, e.g., in under-sampled training scenario. Our integrated strength uses a new discriminant strength assignment, so-called locality oriented Fisher criterion score. The integrated strength leads to new methods for feature selection and weighted linear dimensionality reduction. Experimental results in two case studies (embryo developmental stage classification and face recognition) show the favorable performance of the proposed methods. © 2006 ieee.

关键词： Feature extraction

来源：评论

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Reinforcement matching using region context

Reinforcement matching using region context

引用

2006 conference on computer vision and pattern recognition workshops

作者： Deng, Hongli Mortensen, Eric N. Shapiro, Linda Dietterich, Thomas G. Electrical Engineering and Computer Science Oregon State University Computer Science and Engineering University of Washington

ISBN: (纸本)0769526462

Local feature-based matching is robust to both clutter and occlusion. However, a primary shortcoming of local features is a deficiency of global information that can cause ambiguities in matching. Local features combined with global relationships convey much more information, but global spatial information is often not robust to occlusion and/or non-rigid transformations. This paper proposes a new framework for including global context information into local feature matching, while still maintaining robustness to occlusion, clutter, and non-rigid transformations. To generate global context information, we extend previous fixed-scale, circular-bin methods by using affine-invariant log-polar elliptical bins. Further, we employ a reinforcement matching scheme that provides greater robustness to occlusion and clutter than previous methods that non-discriminately compare accumulated bins values over the entire context. We also present a more robust method of calculating a feature's dominant orientation. We compare reinforcement matching to nearest neighbor matching without region context and to robust matching methods (RANSAC and PROSAC). © 2006 ieee.

关键词： pattern matching

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3D surveillance - A distributed network of smart cameras for real-time tracking and its visualization in 3D

3D surveillance - A distributed network of smart cameras for...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Fleck, Sven Busch, Florian Biber, Peter Straßer, Wolfgang WSI/ORIS University of Tübingen Sand 14 72076 Tübingen Germany

ISBN: (纸本)0769526462

The demand for surveillance systems has increased extremely over recent times. We present a system consisting of a distributed network of cameras that allows for tracking and handover of multiple persons in real time. The intercamera tracking results are embedded as live textures in an integrated 3D world model which is available ubiquitously and can be viewed from arbitrary perspectives independent of the persons' movements. We mainly concentrate on our implementation of embedded camera nodes in the form of smart cameras and discuss the benefits of such a distributed surveillance network compared to a host centralized approach. We also briefly describe our way of hassle free 3D model acquisition to cover the complete system from setup to operation and finally show some results of both an indoor and an outdoor system in operation. © 2006 ieee.

关键词： Three dimensional computer graphics

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Automatic video annotation by mining speech transcripts

Automatic video annotation by mining speech transcripts

引用

2006 conference on computer vision and pattern recognition workshops

作者： Velivelli, Atulya Huang, Thomas S. Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign 405 N. Mathews Ave Urbana IL 61801 United States

ISBN: (纸本)0769526462

We describe a model for automatic prediction of text annotations for video data. The speech transcripts of videos, are clustered using an aspect model and keywords are extracted based on aspect distribution. Thus we capture the semantic information available in the video data. This technique for automatic keyword vocabulary construction makes the labelling of video data a very easy task. We then build a video shot vocabulary by utilizing both static images and motion cues. We use a maximum entropy criterion to learn the conditional exponential model by defining constraint features over the shot vocabulary, keyword vocabulary combinations. Our method uses a maximum a posteriori estimate of exponential model to predict the annotations. We evaluate the ability of our model to predict annotations, in terms of mean negative log-likelihood and retrieval performance on the test set. A comparison of exponential model with baseline methods indicates that the results are encouraging. © 2006 ieee.

关键词： Video signal processing

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Discriminative patch selection using combinatorial and statistical models for patch-based object recognition

Discriminative patch selection using combinatorial and stati...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Vashist, Akshay Zhipeng, Zhao Elgammal, Ahmed Muchnik, Ilya Kulikowski, Casimir Department of Computer Science Rutgers The State University of New Jersey Piscataway NJ 08854 United States DIMACS Rutgers The State University of New Jersey Piscataway NJ 08854 United States

ISBN: (纸本)0769526462

In an object recognition task where an image is represented as a constellation of image patches, often many patches correspond to the cluttered background. If such patches are used for object class recognition, they will adversely affect the recognition rate. In this paper, we present a two stage method for selecting image patches which characterize the target object class and are capable of discriminating between the positive images containing the target objects and the complementary negative images. The first stage selection is done using a novel combinatorial optimization formulation on a weighted multipartite graph representing similarities between images patches across different instances of the target object. The following stage is a statistical method for selecting those images patches from the positive images which, when used individually, have the power of discriminating between the positive and negative images in the evaluation data. The individual methods have a performance competitive with the state of the art methods on a popular benchmark data set and their sequential combination consistently outperforms the individual methods and most of the other known methods while approaching the best known results. © 2006 ieee.

关键词： Object recognition

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Multispectral iris analysis: A preliminary study

Multispectral iris analysis: A preliminary study

引用

2006 conference on computer vision and pattern recognition workshops

作者： Boyce, Christopher Ross, Arun Monaco, Matthew Hornak, Lawrence Xin, Li Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV 26506 United States

ISBN: (纸本)0769526462

This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It is hypothesized that, based on the color of the eye, different components of the iris are highlighted at multiple wavelengths. To this end, an acquisition procedure for obtaining co-registered multispectral iris images associated with the IR, Red, Green and Blue wavelengths of the electromagnetic spectrum, is first discussed. The components of the iris that are revealed in multiple spectral channels/wavelengths based on the color of the eye are studied. An adaptive histogram equalization scheme is invoked to enhance the iris structure. The performance of iris recognition across multiple wavelengths is next evaluated. Experiments indicate the potential of using multispectral information to enhance the performance of iris recognition systems. © 2006 ieee.

关键词： pattern recognition systems

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Towards robust and physically plausible shaded stereoscopic segmentation

Towards robust and physically plausible shaded stereoscopic ...

引用

2006 conference on computer vision and pattern recognition workshops

作者： Wang, Dejun Prados, Emmanuel Soatto, Stefano Vision Lab. Computer Science Department University of California Los Angeles CA 90095 Perception Lab. INRIA Rhone-Alpes 655 avenue de l'Europe 38330 Montbonnot France

ISBN: (纸本)0769526462

We address the multi-view shape from shading problem, that is the recovery of 3-D shape, lighting configuration and surface albedo from multiple calibrated views. Previous approaches to this problem relied on physically impossible illumination models (negative light) and only work on constant albedo and resulted in biased estimates of shape and lighting positions. Furthermore, since the solution involves infinite-dimensional optimization, existing approaches were quite slow. We develop a new model that explicitly enforces positivity in the light sources with the assumption that the object is Lambertian and its albedo is piecewise constant and show that the new model significantly improves the accuracy and robustness relative to existing approaches. Furthermore, we show that the most computationally expensive step in the optimization can actually be solved in closed form. This significantly improves speed of convergence over existing schemes. We illustrate the behavior of our algorithm directly on the same data used by previous authors, so direct comparison is possible. © 2006 ieee.

关键词： Image segmentation

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Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning

Region-based image annotation using asymmetrical support vec...

引用

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

作者： Yang, Changbo Dong, Ming Hua, Jing Machine Vision and Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 Department of Computer Science Wayne State University Detroit MI 48202

ISBN: (纸本)0769525970

In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning strategy. In this paper, we formulate image annotation as a supervised learning problem under Multiple-Instance Learning (MIL) framework. We present a novel Asymmetrical Support Vector Machine-based MIL algorithm (ASVM-MIL), which extends the conventional Support Vector Machine (SVM) to the MIL setting by introducing asymmetrical loss functions for false positives and false negatives. The proposed ASVM-MIL algorithm is evaluated on both image annotation data sets and the benchmark MUSK data sets. © 2006 ieee.

关键词： Image processing

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