Efficient 3D Shape Matching: Dense Correspondence for non-isometric Deformation
This paper presents an application of deep learning in computer graphics, utilizing learn-based networks for 3D shape matching. We propose an efficient method for shape matching between 3D models with non-isometric deformation. Our method organizes intrinsic and directional attributes in a structure...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran University of Science and Technology
2024-11-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/article-1-3504-en.pdf |
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