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" OTION SEGMENTATION INCORPORATING ACTIVE CONTOURS FOR SPATIAL COHERENCE.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 153571
Doc. No : ET25363
Main Entry : Desmond Ryan Chung Lin Cheung
Title Proper : OTION SEGMENTATION INCORPORATING ACTIVE CONTOURS FOR SPATIAL COHERENCE.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This thesis describes a computer vision algorithm that detects and segments independentlymoving objects in a video sequence, recovering their shape over time. While traditional motionsegmentation approaches employ learned or low-dimensional parametric models to representobject shape, we propose a hybrid framework that combines robust motion segmentation with.
Subject : Electericl tess
: برق
electronic file name : TL49614.pdf
Title and statement of responsibility and : OTION SEGMENTATION INCORPORATING ACTIVE CONTOURS FOR SPATIAL COHERENCE.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL49614.pdf
TL49614.pdf
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