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检索条件"任意字段=2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003"

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Natural image statistics for natural image segmentation

Natural image statistics for natural image segmentation

引用

International conference on computer vision (ICCV)

作者： Heiler Schnorr Department of Mathematics and Computer Science University of Mannheim Germany

Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorporated in a sound probabilistic distance measure the model drives level sets toward meaningful segmentations of complex textures and natural scenes. Since each region comprises two model parameters only the approach is computationally efficient and enables the application of variational segmentation to a considerably larger class of real-world images. We validate the statistical basis of our approach on thousands of natural images and demonstrate that our model outperforms recent variational segmentation methods based on second-order statistics.

关键词： Image segmentation Layout computer vision Parametric statistics Mathematical model Level set Bayesian methods Image databases computer graphics pattern recognition

来源：评论

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Robust corner tracking for unconstrained motions

Robust corner tracking for unconstrained motions

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： E. Mohanna E. Mokhtarian University of Surrey Guildford UK

The paper presents a robust corner tracking method for unconstrained motions. The aim is to track corners in video sequences and identify best correspondences under any transformation, perspective distortion and intensity changes. To extract corners from each video frame, the multi-scale enhanced CSS (curvature scale space) corner detector is applied. In the matching stage, a new two-frame correspondence algorithm using multiple matches is employed. Experiments have been carried out on a wide range of real video sequences depicting translation, scaling, rotation and affine transformation, including non-smooth motions with different lighting and different camera motions. All the results were compared to the results of the popular Tommasini feature tracking algorithm (Tommasini, T. et al., ieee Conf. on computer vision and pattern recognition, 1998). Experiments and comparison of the results confirm that the proposed corner tracker is more efficient, and more robust for unconstrained and non-smooth motions. These properties make it specially useful for video database retrieval and multimedia applications.

关键词： Robustness Tracking Video sequences Multimedia databases Cascading style sheets Detectors Cameras computer vision pattern recognition Spatial databases

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Regularization of hidden layer unit response for neural networks

Regularization of hidden layer unit response for neural netw...

引用

ieee Pacific Rim conference on Communications, computers and Signal Processing

作者： K. Taga K. Kameyama K. Toraichi Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Tsukuba Advanced Research Alliance University of Tsukuba Tsukuba Ibaraki Japan

In this paper, we looked into two issues in pattern recognition using neural networks trained by back propagation (BP), namely inefficient learning and insufficient generalization. We observed that these phenomena are partly caused by the way the hidden layer units responds to the inputs. In order to solve the issues, we introduced regularization of the hidden layer unit response which amounts to suppressing the correlation among the response of the hidden layer units, and pruning the unit with the method unit fusion. The results of using the proposed technique were compared with the case of conventional technique in pattern recognition problems. From the results of the experiments, the rate of correct recognition increased when using regularization in the hidden layer unit response is performed, and it turned out that the required number of training epochs also decreases.

关键词： Neural networks Feature extraction Systems engineering and theory pattern recognition computer vision Statistics

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Catadioptric camera calibration using geometric invariants

Catadioptric camera calibration using geometric invariants

引用

International conference on computer vision (ICCV)

作者： Xianghua Ying Zhanyi Hu National Laboratory of Pattern RecognitionInstitute of Automation Chinese Academy and Sciences China

ISBN: (纸本)0769519504

Central catadioptric cameras are imaging devices that use mirrors to enhance the field of view while preserving a single effective viewpoint. In this paper, we propose a novel method for the calibration of central catadioptric cameras using geometric invariants. Lines in space are projected into conics in the catadioptric image plane as well as spheres in space. We proved that the projection of a line can provide three invariants whereas the projection of a sphere can provide two. From these invariants, constraint equations for the intrinsic parameters of catadioptric camera are derived. Therefore, there are two variants of this novel method. The first one uses the projections of lines and the second one uses the projections of spheres. In general, the projections of two lines or three spheres are sufficient to achieve the catadioptric camera calibration. One important observation in this paper is that the method based on the projections of spheres is more robust and has higher accuracy than that using the projections of lines. The performances of our method are demonstrated by the results of simulations and experiments with real images.

关键词： Cameras Calibration Robot vision systems Mirrors computer vision Layout Laboratories pattern recognition Automation Equations

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Automatic prostate boundary detection in ultrasound images using multi-resolution deformable models and fuzzy logic

Automatic prostate boundary detection in ultrasound images u...

引用

conference on Image Processing - Algorithms and Systems II

作者： Nanayakkara, ND Samarabandu, JK Univ Western Ontario Dept Elect & Comp Engn London ON N6A 5B9 Canada

ISBN: (纸本)0819448141

In this paper, we propose an automatic model based image segmentation system, where the instantiated model is refined incrementally using the domain knowledge combined by Fuzzy Logic. The Fuzzy Inference System (FIS) combines several different image features, which are used by experts to detect prostates in noisy ultrasound images. We use the Discrete Dynamic Contour (DDC) model because of its favorable performances in both open and closed contour models. The FIS governs the automatic open DDC model initialization and the following incremental growing process on a low-resolution image. At this stage, the initial open contour model grows by tracking the coarse edge details until it closes. The resulting closed contour model is then refined incrementally up to the original image resolution, incorporating finer edge details on to the model. The algorithm developed here is a general tool for object detection in an image analysis system, which employs a flexible framework designed to support multiple decision tools to collaborate in forming a solution. The FIS in our tool retrieves the domain knowledge it needs from the framework, to govern the model refinement process. The proposed algorithm can be used to detect the boundary of any object on an image, if the knowledge of the dominant image features is stored in the system. We have included results of the algorithm successfully applied to several ultrasound images to define the boundary of the prostate.

关键词： image processing pattern recognition contour model knowledge based systems computer vision

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A multimodal learning interface for word acquisition

A multimodal learning interface for word acquisition

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： D.H. Ballard Chen Yu Department of Computer Science University of Rochester Rochester NY USA

We present a multimodal interface that learns words from natural interactions with users. The system can be trained in an unsupervised mode in which users perform everyday tasks while providing natural language descriptions of their behavior. We collect acoustic signals in concert with user-centric multisensory information from non-speech modalities, such as user's perspective video, gaze positions, head directions and hand movements. A multimodal learning algorithm is developed that firstly spots words from continuous speech and then associates action verbs and object names with their grounded meanings. The central idea is to make use of non-speech contextual information to facilitate word spotting, and utilize temporal correlations of data from different modalities to build hypothesized lexical items. From those items, an EM-based method selects correct word-meaning pairs. Successful learning has been demonstrated in the experiment of the natural task of "stapling papers".

关键词： Hidden Markov models Speech recognition Humans Learning systems computer science Man machine systems computer vision Computational modeling Natural languages pattern recognition

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Computationally efficient wavelet affine invariant functions for 2D object recognition

Computationally efficient wavelet affine invariant functions...

引用

ieee International conference on Image Processing

作者： E. Bala A.E. Cetin University of Delaware Newark DE USA Bilkent University Ankara Turkey

In this paper, an affine invariant function is presented for object recognition from wavelet coefficients of the object boundary. In previous works, undecimated wavelet transform was used for affine invariant functions. In this paper, an algorithm based on decimated wavelet transform is developed to compute the affine invariant function. As a result, computational complexity is significantly reduced without decreasing recognition performance. Experimental results are presented.

关键词： Object recognition Wavelet transforms Discrete wavelet transforms Filters Wavelet coefficients Jacobian matrices Transmission line matrix methods Computational complexity computer vision pattern analysis

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Multiple-cue illumination estimation in textured scenes

Multiple-cue illumination estimation in textured scenes

引用

International conference on computer vision (ICCV)

作者： Yuanzhen Li Lin Hanqing Lu Heung-Yeung Shum Microsoft Research Asia China Chinese Academy of Sciences National Laboratory of Pattern Recognition

In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a problem for lighting estimation, since texture edges can be mistaken for changes in illumination condition, and unknown variations in albedo make reflectance model fitting impractical. Unlike previous works which all assume known or uniform reflectance, our method can deal with the effects of textures by capitalizing on physical consistencies that exist among the lighting cues. Since scene textures do not exhibit such coherence, we use this property to minimize the influence of texture on illumination direction estimation. For the recovered light source directions, a technique for estimating their intensities in the presence of texture is also proposed.

关键词： Lighting Layout Optical reflection Reflectivity Light sources computer graphics Equations Image edge detection Asia Laboratories

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Methods for intelligent localization and mapping during haptic exploration

Methods for intelligent localization and mapping during hapt...

引用

ieee International conference on Systems, Man and Cybernetics

作者： M.A. Schaeffer A.M. Okamura Department of Computer Science Johns Hopkins University Baltimore MD USA Department of Mechanical Engineering Johns Hopkins University Baltimore MD USA

This paper presents a set of algorithms for use in simultaneous localization and mapping during haptic exploration. Several solutions are provided for the problem of a single spherical robot finger exploring a known smooth surface, starting with an unknown pose. Using pose estimates, pattern matching is performed between the robot's internal model of the surface and the known model. The robot finger is guided to explore regions of the surface that will maximize the probability of recognition. Simulation results demonstrate the effectiveness of one algorithm. In addition, it is shown that haptic exploration and dexterous manipulation can be achieved concurrently when multiple robot fingers are used.

关键词： Haptic interfaces Simultaneous localization and mapping Fingers Robot sensing systems Mobile robots Shape Tactile sensors pattern matching Force sensors computer vision

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Documenting software architectures: views and beyond

Documenting software architectures: views and beyond

引用

International conference on Software Engineering (ICSE)

作者： P. Clements D. Garlan R. Little R. Nord J. Stafford Carnegie Mellon University Pittsburgh PA US Carnegie Mellon Univ. Pittsburgh PA USA Carnegie Mellon University Pittsburgh PA USA

This lecture maps the concepts and templates explored in this tutorial with well-known architectural prescriptions, including the 4+1 approach of the Rational Unified Process, the Siemens Four Views approach, and the ANSI/ieee-1471-2000 recommended best practice for documenting architectures for software-intensive systems. The lecture concludes by re-capping the highlights of the tutorial, and asking for feedback.

关键词： computer architecture Documentation Software architecture Software engineering computer science Design engineering Robustness pattern recognition Machine vision Programming

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