Results 221 to 230 of about 211,200 (266)
Segmentation with Volumetric Part Models [PDF]
, 1996 Segmentation with Volumetric Part Models. Volumetric models are top-level shape representation in computer vision applications. Volumetric models are especially suited for part-level representation on which manipulation, recognition and other reasoning can be based.
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Geometric deformable model and segmentation
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002In this paper, we point out some problems associated with existent geometric active contour models, and present a new geometric active contour model. This model can overcome some drawbacks in the previous geometric models. We implement the geometric active contour model using the level set method.
Haiyan Wang, Bijoy K. Ghosh
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A snake for model-based segmentation
Proceedings of IEEE International Conference on Computer Vision, 2002Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and flattening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity.
Petia Radeva +2 more
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Markov models of genome segmentation
Physical Review E, 2007We introduce Markov models for segmentation of symbolic sequences, extending a segmentation procedure based on the Jensen-Shannon divergence that has been introduced earlier. Higher-order Markov models are more sensitive to the details of local patterns and in application to genome analysis, this makes it possible to segment a sequence at positions ...
Vivek, Thakur +2 more
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Mesh Segmentation and Model Extraction
2012High precision laser scanners deliver virtual surfaces of industrial objects whose accuracy must be evaluated. But this requires the automatic detection of reliable components such as facets, cylindric and spherical parts, etc. The method described here finds automatically parts in the surface to which geometric primitives can be fitted.
Julie Digne +3 more
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Model-based learning of segmentations
Proceedings of 13th International Conference on Pattern Recognition, 1996A method for integrating image segmentation information into geometric models is presented. The resulting object representation has advantages of both model-based and view-based representations, in that model geometry plus learned appearance information is used to improve the prediction of object appearance over purely geometric methods.
Anthony Hoogs, Ruzena Bajcsy
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Multiscale background modelling and segmentation
2009 16th International Conference on Digital Signal Processing, 2009A new multiscale approach to motion based segmentation of objects in video sequences is presented. While image features extracted at multiple scales are commonly used within the pattern recognition community, they have seldom been employed for background modelling and subtraction. The paper describes a methodology for maintaining an explicit background
Dubravko Culibrk +2 more
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1986
The formation of segmented structures is a very important step during development of higher organisms. With the formation of somites in vertebrates or the segments in insects the primary anteroposterior pattern of the organisms is laid down. Segmentation is the result of the superposition of two pattern formation processes.
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The formation of segmented structures is a very important step during development of higher organisms. With the formation of somites in vertebrates or the segments in insects the primary anteroposterior pattern of the organisms is laid down. Segmentation is the result of the superposition of two pattern formation processes.
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A Classification Model for Customer Segmentation
2011Customer management is one of the important aspects in retail business. It is vital for the retailers to adopt different methodologies by which high valued customers can be identified, in order to perform suitable target marketing effectively. In this paper, a novel model is proposed for classifying retail customers into different categories based on ...
Chithra Ramaraju, Nickolas Savarimuthu
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Perspective Image Modeling for Segmentation
2005 IEEE International Conference on Systems, Man and Cybernetics, 2006This paper proposes a novel thresholding method for real time perspective image segmentation based on an image gray level probability distribution model. A perspective image can be modeled as a mixture of the background and the object in the image, which are farther modeled as two independent Gaussian distributions.
Lei He 0007, Bin Chen 0022, Ping Liu
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