Search

Your search keyword '"WONG, EDWARD"' showing total 27 results
Start Over Author "WONG, EDWARD" Publisher ieee
27 results on '"WONG, EDWARD"'

6. DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval.

Author

Xie, Jin, Dai, Guoxian, Zhu, Fan, Wong, Edward K., and Fang, Yi

Subjects
THREE-dimensional modeling, STATISTICAL matching, TRANSDUCERS, DEFORMATION of surfaces, SUPERVISED learning
Abstract

Complex geometric variations of 3D models usually pose great challenges in 3D shape matching and retrieval. In this paper, we propose a novel 3D shape feature learning method to extract high-level shape features that are insensitive to geometric deformations of shapes. Our method uses a discriminative deep auto-encoder to learn deformation-invariant shape features. First, a multiscale shape distribution is computed and used as input to the auto-encoder. We then impose the Fisher discrimination criterion on the neurons in the hidden layer to develop a deep discriminative auto-encoder. Finally, the outputs from the hidden layers of the discriminative auto-encoders at different scales are concatenated to form the shape descriptor. The proposed method is evaluated on four benchmark datasets that contain 3D models with large geometric variations: McGill, SHREC’10 ShapeGoogle, SHREC’14 Human and SHREC’14 Large Scale Comprehensive Retrieval Track Benchmark datasets. Experimental results on the benchmark datasets demonstrate the effectiveness of the proposed method for 3D shape retrieval. [ABSTRACT FROM PUBLISHER]

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results