Title:	LOCAL TERNARY DESCRIPTOR FOR 3D MODEL MATCHING AND RETRIEVAL
Author(s):	Wen-Hung Liao, Chong-Ming Wang and Yi-Chieh Wu
ISBN:	978-989-8533-79-1
Editors:	Katherine Blashki and Yingcai Xiao
Year:	2018
Edition:	Single
Keywords:	Qmodel Creator, Block-Style Model, Local Ternary Descriptor, 3D Model Retrieval
Type:	Full Paper
First Page:	195
Last Page:	204
Language:	English
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Paper Abstract:	Qmodel Creator is a software for designing block (LEGO) style 3D models using intuitive drawing methods. The produced models are composed of cubes, which are conveniently encoded using voxel-based representation. To support content-based search and retrieval for models generated with Qmodel Creator, we proposed a feature descriptor defined as 3D local ternary descriptor (3DLTD) in this paper. To begin with, we partition the bounding box of each model into cubes and then divide cubes into voxels. Weights are assigned to each voxel according to its distance to the boundary. We randomly select 64 pairs of voxels in each cube and generate a ternary code based on the relationship between each pair of voxels. Weighted bipartite matching is employed to compute the similarity between two models. Experimental results indicate that 3DLTD is suitable for comparing and searching voxel-based 3D models. Compared with 3DBRIEF, our proposed framework is more robust and efficient thanks to the two-level partition. Ternary encoding also promotes feature representativeness and noise immunity while maintaining overall efficacy.
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