NDLI: View Selection of 3D Objects Based on Saliency Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Honglei Han Jing Li Wencheng Wang Huiwen Zhao Miao Hua
Copyright Year	2014
Description	Author affiliation: State Key Lab. of Comput. Sci., Inst. of Software, Beijing, China (Jing Li; Wencheng Wang; Miao Hua) \|\| Animation Sch., Commun. Univ. of China, Beijing, China (Honglei Han; Huiwen Zhao)
Abstract	Getting good viewpoints has been considered important for promoting the efficiency when investigating a model. Many view selection methods therefore have been proposed. In particular, measuring semantic meaning of the model features through segmentation is regarded more effective to get optimal viewpoints. Unfortunately, the semantic meanings of the model are usually obtained through experiences, which are not easy to apply into practices. Given these considerations, a new method is proposed for view selection via saliency segmentation in this paper. Due to the fact that mesh saliency computation can recognize the features of a model in a way that similar to human perception and also a novel viewpoint ranking equation has been developed, our method is more reasonable than existing methods. The results of experiments show the effectiveness of our method, and it is consistent with the results of a user study we conducted.
Starting Page	214
Ending Page	219
File Size	717218
Page Count	6
File Format	PDF
e-ISBN	9781479968541
DOI	10.1109/ICVRV.2014.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Solid modeling Image segmentation Three-dimensional displays Computational modeling Segmentation Semantics Mesh saliency View selection Mathematical model
Content Type	Text
Resource Type	Article

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