9 citations · 34 across the 6 of their papers we have counts for
6 papers
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance
Xinyu Lin, Yingjie Zhou, Xun Zhang +2
Binary feature descriptors have been widely used in various visual measurement tasks, particularly those with limited computing resources and storage capacities. Existing binary de…
Level-line Guided Edge Drawing for Robust Line Segment Detection
Xinyu Lin, Yingjie Zhou, Yipeng Liu +1
Line segment detection plays a cornerstone role in computer vision tasks. Among numerous detection methods that have been recently proposed, the ones based on edge drawing attract…
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
Xinyu Lin, Yingjie Zhou, Yipeng Liu +1
An image line segment is a fundamental low-level visual feature that delineates straight, slender, and uninterrupted portions of objects and scenarios within images. Detection and…
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Xinyu Lin, Jinxing Li, Zeyu Ma +5
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-identification (Re-ID) is achieved by projecting them into a common space, allowing person Re-I…
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…
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…