Posts Tagged ‘Shape matching’:

Object Extraction Based on Contour Grouping and Shape Matching

Computer vision is intended to make computers own the ability to understand the visual scene like human being. To this end, object detection is an important task. However, a difficult problem which hampers this task is the disturb of clutter objects in natural scenes.This thesis addressed the problem of detecting object based on an edge

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Research on Key Technologies of Two-Dimensional Cartoon Motion Capturing Based on Shape Matching

Two-dimensional cartoon animation is widely used in many fields, such as entertainment, advertisement, education, etc., because of its distinctive charm. How to reuse the existing cartoon animation effectively is an attractive research issue. Cartoon motion capturing is the base of cartoon animation reuse. This article does researches on some key techniques of cartoon motion capturing.

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Research and Implementation of Shape Matching Based on Shape Context

Shape matching which is a basic problem in computer vision and pattern matching field is according to some measures to measure the similarity of shapes.Algorithm based on the shape context is proposed based on shape contour this year.It has been applied to many fields,such as the shape matching algorithm in the character recognition, face recognition,

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Research of Shoeprint Images Retrieval Algorithm and System Design

Shoeprint image are often left at crime scenes and can be used as scientific evidence in forensic science. Recent developments in forensic science have resulted in large numbers of scene of crime images being collected for recording and analysis, so rapid and effective searching for desired images from large-scale shoeprint image databases becomes an important

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Research on Contour Based Shape Matching

Shape matching is to measure the similarity between two shapes with some rules. It is a fundamental problem in automatic image recognition and understanding, and is widely used in computer vision, pattern recognition, remote sensing image analyzing, handwriting recognition, etc. During the past few decades, many approaches have been proposed to tackle it. But there

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Research on the Recognizing and Matching and Retrieval Method of Hand Gestures Based on Computer Vision

As a novel man-machine interaction technology,the hand gesture interaction is supirior in some areas,such as virtual reality,sign language interpretation,remote control and so on, because of its simplicity,intuition and ease of use.Therefore,it obtains more and more attentions.Although it is still a hot spot of technical research,the hand gesture interaction begins to be applied in the real

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The Research of Image Retrieval Based on Shape Matching

CBIR is not only the outcome of image processing technology combining with traditional database technology,but also the hot research topic of database in recent years.The image retrieval technology based on color and texture is very mature in three primary low-level visual features,but shape-based image retrieval is unsatisfied. This paper presents a study focused on the

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System of Contour and Sketch Extraction from Video Sequence Frame Based on Manual Template

Contour extraction is an important pre-processing of image processing, computer vision, pattern recognition, and it has wide applications in visual matching, motion tracking, 3D reconstruction, image recognition, etc. Sketch extraction which is developed on the basis of the contour extraction technology has become an important method of video and film post-production effects, and it is

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Study of Soft Tissue Cutting and Deformation Simulation in Virtual Surgery

A virtual surgery simulation system is mainly used in medical education, surgical planning, surgical training, ancillary support in surgery, and the cutting deformation simulation of body’s soft tissues and organs is an important part of a virtual surgery simulation which needs to meet the real-time, stability and realistic demands. For the deformation model, the general

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Research on Shape Recognition Algorithm for Fish Image of Dynamic Deformation

Shape matching is a hot issue in computer vision, it is a fundamental problem in automatic image recognition and understanding, and has widely apply to object recognition, classification, content based image retrieval and so on. Although lots of studies have done, but until now there is not good method about shape matching of non-rigid objects

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