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3D shape retrieval from a 2D image as query

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2 Author(s)
Aono, M. ; Toyohashi Univ. of Technol., Toyohashi, Japan ; Iwabuchi, H.

3D shape retrieval has gained popularity in recent years. Yet we still have difficulty in preparing a 3D shape by ourselves for query input. Therefore an easy way of doing 3D shape search is much awaited in terms of query input. In this paper, we propose a new method for defining a feature vector for 3D shape retrieval from a single 2D photo image. Our feature vector is defined as a combination of Zernike moments and HOG (Histogram of Oriented Gradients), where these features can be extracted from both a 2D image and a 3D shape model. Comparative experiments demonstrate that our approach exhibits effectiveness as an initial clue to searching for more relevant 3D shape models we have in mind.

Published in:

Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific

Date of Conference:

3-6 Dec. 2012