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7th Asian Conference on computer vision, ACCV 2006

作者： Yoon, Kuk-Jin Kweon, In-So Robotics and Computer Vision Lab. Dept. Electrical Engineering and Computer Science KAIST Korea Republic of

In this paper, we present a new method to deal with specular high-lights in correspondence search. The proposed method is essentially based on the specular-free two-band image that we introduce to deal with specular reflection. For given input images, specular-free two-band images are generated using simple pixel-wise computations in real-time. Specular-free two-band images are then used to compute per-pixel raw matching costs. By using the specular-free two-band images instead of input images, reliable raw matching costs that are independent of the specularities of image pixels are obtained. As a result, we can find correct correspondences even in the presence of specular highlights. Experimental results show that the proposed method successfully produces accurate disparity maps for stereo images with specular highlights. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Image analysis

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Multi-sensor system based on unscented Kalman Filter

Multi-sensor system based on unscented Kalman Filter

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6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006

作者： Gomez, Jorge R. Herrero, J. Elías Medrano, Carlos Orrite, Carlos Computer Vision Lab. Aragon Institute for Engineering Research University of Zaragoza Spain

ISBN: (纸本)0889865981

Unscented Kalman Filter (UKF) is a very popular tracking algorithm which provides a way of processing non-linear and non-Gaussian models. In this paper we propose a modified UKF to extend its applications to multi-sensor scenes, improving thus the global result. The combination of several independent sensors increases the precision and robustness of our tracking system, making possible to solve difficult situations, such as occlusions or serious noise. We approach this modification to multi-camera tracking applications, like video surveillance or sport performance improvement.

关键词： Kalman filters

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Stereo matching with symmetric cost functions

Stereo matching with symmetric cost functions

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2006 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 2006

作者： Yoon, Kuk-Jin Kweon, In So Robotics and Computer Vision Lab. Dept. Electrical Engineering and Computer Science KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)0769525970

Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various techniques. However, most global methods mainly focus on how to minimize conventional cost functions efficiently, although it is more important to define cost functions well to improve performance. In this paper, we propose new symmetric cost functions for global stereo methods. We first present a symmetric data cost function for the likelihood and then propose a symmetric discontinuity cost function for the prior in the MRF model for stereo. In defining cost function, both the reference image and the target image are taken into account to improve performance without modeling half-occluded pixels explicitly and without using color segmentation. The performance improvement of stereo matching due to the proposed symmetric cost functions is verified by applying the proposed symmetric cost functions to the belief propagation (BP) based stereo method. Experimental results for standard testbed images show that the performance of the BP based stereo method is greatly improved by the proposed symmetric cost functions. © 2006 IEEE.

关键词： Pattern matching

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3D structure recovery from stereo using synchronous optimization processes

3D structure recovery from stereo using synchronous optimiza...

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2006 17th British Machine vision Conference, BMVC 2006

作者： Aydin, Tarkan Akgul, Yusuf Sinan Department of Computer and Mathematics Bahcesehir University Besiktas Istanbul 34349 Turkey GIT Vision Lab. Department of Computer Engineering Gebze Institute of Technology Cayirova Gebze Kocaeli 41400 Turkey

ISBN: (纸本)1904410146

This paper presents a novel system that uses two synchronous optimization processes to recover 3D structure from rectified stereo image pairs. The synchronization of the processes are done by energy terms that inform the optimization processes about the recovered positions of each other. This information is used to direct the optimizations towards a better direction. The system is initialization insensitive and it is very robust against local minima. We performed experiments on real and synthetic images with ground truth that showed the effectiveness and the robustness of our system. We also compared our system to other systems for further validation.

关键词： Recovery

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Human identification using gait

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Turkish Journal of Electrical engineering and computer Sciences 2006年第2期14卷 267-291页

作者： Ekinci, Murat Computer Vision Lab. Dept. of Computer Engineering Karadeniz Technical University Trabzon Turkey

Gait refers to the style of walking of an individual. This paper presents a view-invariant approach for human identification at a distance, using gait recognition. Recognition of a person from their gait is a biometric of increasing interest. Based on principal component analysis (PCA), this paper describes a simple, but efficient approach to gait recognition. Binarized silhouettes of a motion object are represented by 1-D signals, which are the basic image features called distance vectors. The distance vectors are differences between the bounding box and silhouette, and are extracted using 4 projections of the silhouette. Based on normalized correlation of the distance vectors, gait cycle estimation is first performed to extract the gait cycle. Second, eigenspace transformation, based on PCA, is applied to time-varying distance vectors and Mahalanobis distances-based supervised pattern classification are then performed in the lower-dimensional eigenspace for human identification. A fusion strategy is finally executed to produce a final decision. Experimental results on 3 main databases demonstrate that the right person in the top 2 matches 100% of the time for the cases where training and testing sets corresponds to the same walking styles, and in the top 3-4 matches 100% of the time when training and testing sets do not correspond to the same walking styles. © TÜBTAK.

关键词： Human engineering

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Fast Separation of Reflection Components using a Specularity-Invariant Image Representation

Fast Separation of Reflection Components using a Specularity...

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IEEE International Conference on Image Processing

作者： Kuk-jin Yoon Yoojin Choi In So Kweon Department Electrical Engineering and Computer Science KAIST Robotics and Computer Vision Laboratory South Korea Dept. Electrical Engineering and Computer Science Robotics and Computer Vision Lab. Korea

In this paper, we propose a fast method for separating reflection components using a single color image. We first propose a specular-free two-band image that is a specularity-invariant color image representation. Reflection components separation is achieved by comparing local ratios at each pixel and making those ratios equal in an iterative framework. The proposed method is very fast and shows reasonable results for textured indoor/outdoor images.

关键词： Reflection Image representation Layout Color Polarization computer vision Image segmentation Filters Lighting Argon

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A computer vision system for monitoring the energy efficiency of intermodal trains

A computer vision system for monitoring the energy efficienc...

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作者： Lai, Yung-Cheng Ahuja, Narendra Barkan, Christopher P. L. Drapa, Joseph Hart, John M. Milhon, Larry Railroad Engineering Program University of Illinois Urbana-Champaign IL United States Computer Vision and Robotics Lab. University of Illinois Urbana-Champaign IL United States BNSF Railway Fort Worth TX United States

ISBN: (纸本)0791842037

Intermodal trains are typically the fastest trains operated by North American freight railroads. It is thus ironic that these trains tend to have the poorest aerodynamic characteristics. Because of constraints imposed by equipment design and diversity, there are often large gaps between intermodal loads and these trains incur greater aerodynamic penalties and increased fuel consumption compared to other trains. We conducted train energy analyses of the most common intermodal train configurations operated in North America. It was found that matching intermodal loads with cars of appropriate length reduces the gap length thereby improving airflow. Properly matching cars with loads also avoids use of cars that are longer and thus heavier than necessary. For double stack containers on well cars, train resistance may be reduced by as much as 9% and fuel savings by 0.52 gallon per mile per train. Proper loading of intermodal trains is therefore important to improving energy efficiency. We have developed a wayside machine vision system that automatically scans passing trains and assesses the aerodynamic efficiency of the loading pattern. Machine vision algorithms are used to analyze these images and detect and measure gaps between loads and develop a quantitative index of the loading efficiency of the train. Integration of this metric that we call "slot efficiency" can provide intermodal terminal mangers feedback on loading performance for trains and be integrated into the software support systems used for loading assignment. Copyright © 2006 by ASME.

关键词： Energy efficiency

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Registration of brain MR images using feature information of structural elements

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6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005

作者： Chae, Jeong-Sook Cho, Hyung-Jea Korea Republic of Computer Vision and Multimedia Lab. Department of Computer Engineering Dongguk University Korea Republic of

ISBN: (纸本)3540300279

In this paper, we propose a new registration algorithm, which can provide more exact criteria for deciphering brain diseases. At the first stage, our algorithm divides the areas of the brain structures to extract their features. After calculating contour and area information, the grouping step is performed. At the next stage, the brain structures are precisely classified with respect to the shape of cerebrospinal fluid and the volume of brain structures. These features are finally integrated into a knowledge base to build up a new standard atlas for normal brain MR images. Using this standard atlas, we perform the registration process after extracting the brain structures from the MR image to be compared. Finally, we analyze the registration results of the normal and abnormal MR images, and showed that the exactness of our algorithm is relatively superior to the previous methods. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Medical imaging

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Underwater mosaic creation using video sequences from different altitudes

Underwater mosaic creation using video sequences from differ...

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MTS/IEEE OCEANS, 2005

作者： Gracias, Nuno Negahdaripour, Shahriar Underwater Vision and Imaging Lab. Electrical and Computer Engineering Department University of Miami Coral Gables FL 33124-0640

ISBN: (纸本)0933957343

This paper presents a method for the automatic creation of 2D mosaics of the sea floor, using video sequences acquired at different altitudes above the sea floor. The benefit of using different altitude sequences comes from the fact that higher altitude sequences can be used to guide the motion estimation of the lower ones, thus increasing the robustness and efficiency of the mosaicing process. When compared to the case of single sequence mosaic creation, we show that by combining geometric information from different sequences, we are able to successfully estimate the registration topology of much lower altitude sequences. This results in higher resolution mapping of the sea floor. Illustrative results are presented using sequences of the same coral reef patch, captured with a single video camera. The sequences present some of the common difficulties of underwater 2D mosaicing, namely non-flat, moving environment and changing lighting conditions. The importance of this work is emphasized by fact that the presented methods require inexpensive image acquisition and processing equipment, thus potentially benefiting a very large group of marine scientists.

关键词： Underwater imaging

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Color distribution tracking for facial analysis

Color distribution tracking for facial analysis

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Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005

作者： Gracia-Roche, Juan Josá Orrite, Carlos Bernuás, Emiliano Herrero, Josá Eláas Computer Vision Lab. Aragon Institute for Engineering Research University of Zaragoza Maria de Luna 1 50018 Zaragoza Spain

In this paper we address the problem of real time object tracking in complex scenes under dynamically changing lighting conditions. This problem affects video-surveillance applications where object location must be known at any time. We are interested in locating and tracking people in video sequences for access control and advanced user interface applications. Here we present a real time tracking method suitable for human faces. A Skin Probability Image (SPI) is generated by applying a skin hue model to the input frame. Targets are located by applying a modified mean-shift algorithm. To obtain their spatial extent, error ellipses are fitted to the probability distributions representing them. The hue model is unique for each target and it is updated each frame to cope with lighting variations. This technique has been applied to human face tracking in indoor environments to test its performance in different situations. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Face recognition

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