1 citations · 1 across the 3 of their papers we have counts for
5 papers · 1 filter
Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
Hsuan Yuan, Shao-Yu Weng, I-Hsuan Lo +5
Previous methods have demonstrated remarkable performance in single image super-resolution (SISR) tasks with known and fixed degradation (e.g., bicubic downsampling). However, when…
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation
Yueh-Cheng Huang, Chen-Tao Hsu, Jen-Hui Chuang
In computer vision, finding correct point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, e…
Equivalence of Two Expressions of Principal Line
Cheng-Yen Hsu, Hsin-Yi Chen, Jen-Hui Chuang
Geometry-based camera calibration using principal line is more precise and robust than calibration using optimization approaches; therefore, several researches try to re-derive the…
A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography
Yueh-Cheng Huang, Ching-Huai Yang, Chen-Tao Hsu +1
In computer vision, finding point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc. Most…
A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines
Jen-Hui Chuang, Chih-Hui Ho, Ardian Umam +4
Camera calibration is a crucial prerequisite in many applications of computer vision. In this paper, a new, geometry-based camera calibration technique is proposed, which resolves…