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Research on Visual Image-based 3D Model Retrieval and Semantic Automatic Annotation Technology

Author: YangShaoBo
Tutor: GengGuoHua
School: Northwestern University
Course: Applied Computer Technology
Keywords: 3D model retrieval Orthogonal projection Perspective projection Semantic annotation
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 158
Quote: 1
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Abstract


Semantic retrieval is a hot research field of 3D model retrieval , this paper two important aspects of the semantic retrieval feature extraction and semantic annotation technology research , computer vision, image taking into account the three-dimensional model of the most characteristic content features , it is This paper focuses on three-dimensional model of the visual image retrieval and semantic annotation technology - based . Respectively through the orthogonal projection of an image matching computer vision and a perspective projection image to obtain similarity of the three-dimensional model , and the algorithm is applied to the semantic autolabels technology among . The main research work as follows: (1) of the orthogonal projection of the image based on visual model retrieval algorithm . Obtain a three - dimensional model on the basis of the two - dimensional orthogonal projection image , respectively, by comparable projection image contour edge angle and statistical projection image Cylindrical histogram to calculate the image similarity , and thus to obtain a three - dimensional model of similarity , and Both two - dimensional shape feature extraction thinking of expanding to a three-dimensional field . Experimental comparison shows that such algorithm has better retrieval efficiency , and for 3D model retrieval request translation, rotation and scaling invariance has better robustness . (2) based on 6 - viewpoint and a 14 - point of view perspective projection image model retrieval algorithm . Similarity to calculate the projection image using the contour edge angle based on the projection image , and a method based on the projection image Cylindrical experimental comparison shows that the viewpoint would increase the retrieval accuracy of the model under specific projection matching algorithm . (3) proposed an improved semantic tagging algorithm automatically . Combined with the proposed computing model retrieval algorithm based on orthogonal projection image edge angle and Jiang Conrath semantic vocabulary similarity algorithm , the model automatically marked . The algorithm effectively improve model Find and semantic vocabulary matching accuracy based on the improvement of the effect of the automatic annotation . (4) system . Design and development of a three-dimensional model of browsing, editing and retrieval retrieval prototype system , the system validates this article involves the retrieval algorithm , has a simple , interactive , scalability . This article National 863 High-Tech Research and Development Program (2008AA012301) - three-dimensional model of intelligent processing and retrieval platform support .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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