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Sketch-Based 3D Model Retrieval using Diffusion Tensor Fields of Suggestive Contours

Yoon, Sang Min and Scherer, Maximilian and Schreck, Tobias and Kuijper, Arjan (2010):
Sketch-Based 3D Model Retrieval using Diffusion Tensor Fields of Suggestive Contours.
pp. 193-200, ACM, New York, Proceedings of the ACM Multimedia 2010 International Conference, [Conference or Workshop Item]

Abstract

The number of available 3D models in various areas increases steadily. Effective methods to search for those 3D models by content, rather than textual annotations are crucial. For this purpose, we propose a new approach for content based 3D model retrieval by hand-drawn sketch images. This approach to retrieve visually similar mesh models from a large database consists of three major steps: (1) suggestive contour renderings from different viewpoints to compare against the user drawn sketches; (2) descriptor computation by analyzing diffusion tensor fields of suggestive contour images, or the query sketch respectively; (3) similarity measurement to retrieve the models and the most probable view-point from which a model was sketched. Our proposed sketch based 3D model retrieval system is very robust against variations of shape, pose or partial occlusion of the user drawn sketches. Experimental results are presented and indicate the effectiveness of our approach for sketch-based 3D model retrieval.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Yoon, Sang Min and Scherer, Maximilian and Schreck, Tobias and Kuijper, Arjan
Title: Sketch-Based 3D Model Retrieval using Diffusion Tensor Fields of Suggestive Contours
Language: English
Abstract:

The number of available 3D models in various areas increases steadily. Effective methods to search for those 3D models by content, rather than textual annotations are crucial. For this purpose, we propose a new approach for content based 3D model retrieval by hand-drawn sketch images. This approach to retrieve visually similar mesh models from a large database consists of three major steps: (1) suggestive contour renderings from different viewpoints to compare against the user drawn sketches; (2) descriptor computation by analyzing diffusion tensor fields of suggestive contour images, or the query sketch respectively; (3) similarity measurement to retrieve the models and the most probable view-point from which a model was sketched. Our proposed sketch based 3D model retrieval system is very robust against variations of shape, pose or partial occlusion of the user drawn sketches. Experimental results are presented and indicate the effectiveness of our approach for sketch-based 3D model retrieval.

Publisher: ACM, New York
Uncontrolled Keywords: Forschungsgruppe Visual Search and Analysis (VISA), Diffusion tensor fields, 3D Object retrieval, Content based retrieval, Sketch based queries
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Proceedings of the ACM Multimedia 2010 International Conference
Date Deposited: 12 Nov 2018 11:16
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