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Feature Extraction in Light Field Based 3D Object Retrieval

Author: QianJunYan
Tutor: ErGuiHua
School: Tsinghua University
Course: Control Science and Engineering
Keywords: Light field 3D object retrieval Feature Extraction Characteristic view Multiple Feature Fusion
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 55
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Abstract


Traditional generation and display of three - dimensional objects is generally based on the method of the model parameters , but the three-dimensional modeling of highly complex , in order to solve this problem , in recent years proposed a described three-dimensional object based on light field , i.e. obtained from different viewpoints through a set - intensive multi-view three-dimensional objects to describe the three-dimensional object into a series of two-dimensional view , the light field three-dimensional object retrieval mechanism is also increasingly becoming a hot research . Light field - based three-dimensional object retrieval difficulty is that there is a lot of information redundancy between multiple views , spatial correlation and heterogeneity, the general two-dimensional view of feature extraction technology is difficult to meet the demand for the actual retrieval . In order to solve these problems, the paper launched a the light field three-dimensional object feature extraction method , major achievements and innovations include the following aspects . First, the selection algorithm of the characteristic view of the light field , to find characteristics view contains the maximum amount of information from a large number of views of the three - dimensional object of the light field ; descriptor using only feature point on this basis , for the SIFT (Scale Invariant Feature Transform) characterized the disadvantage of local information , an improved feature point - based global information descriptor . This approach reduces the number of views of the description of the object , and a combination of global and local information , and improve the efficiency and accuracy of retrieval . Second, multi - feature fusion of a light field . The method combines two highly representative , but also has a complementary shape descriptor Shock Figure skeleton descriptor and Fourier descriptors . Considering their respective advantages , and at the same time to make up for their shortcomings , and to further improve the effectiveness of retrieval . Finally, the proposed extraction methods based segmentation of the characteristics of the light field view . This method the image segmentation technique is introduced into the view feature extraction process , after the split view , respectively, to extract the underlying characteristics of each image block , and translation of the image blocks of pixels between the points from the standard differential , considering further view image block between spatial correlation of the experimental results show its superiority can be described as a three-dimensional object characteristics of the light field .

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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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