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A Review of 3Dimensional Object Searching


Author(s):

Shivani Shah , Indus University; Jignesh Patel, Indus University

Keywords:

3D object, 3D object matching, OML I II, 3D search model, Octree model, Fast search algorithm

Abstract:

This paper describes 3D object searching mechanism and methods which mainly focuses on query interfaces and their corresponding model/query representations, matching methods and algorithms. Many 3D models are available online but finding the right tool requires great effort, time and resources to develop a high quality 3D model. However finding the right model is not easy as they are scattered across the web on different repository sites, project sites, and personal homepages. It presents a new approach to 3Dimensional object recognition by using an Octree model library (OML) I, II and fast search algorithm [1]. The fast search algorithm is used for locating four pairs of feature points to estimate the viewing direction on effective 2 level database. The best direction is decided by searching for the four pairs of feature points between the input image and image projected along the approximate viewing direction. The input shape is found by matching it to the projected shape. The complexity of proposed method is shown to be O(n 2) in the worst case, and that of the simple combinatorial method of O(m4 , n2 ), where n and m denote the number of feature points of the 3D model object and the 2D object, respectively.


Other Details:

Manuscript Id :IJSTEV3I10223
Published in :Volume : 3, Issue : 10
Publication Date: 01/05/2017
Page(s): 505-509
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