9 citations · 34 across the 6 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.CV2016★ 3 cited
3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder
Xinyu Lin, Ce Zhu, Qian Zhang +1
Researchers have proposed various methods to extract 3D keypoints from the surface of 3D mesh models over the last decades, but most of them are based on geometric methods, which l…
cs.CV2016★ 8 cited
Mesh Interest Point Detection Based on Geometric Measures and Sparse Refinement
Xinyu Lin, Ce Zhu, Yipeng Liu
Three dimensional (3D) interest point detection plays a fundamental role in 3D computer vision and graphics. In this paper, we introduce a new method for detecting mesh interest po…