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20192025
most citedTwo Heads Better than One: Dual Degradation Representation for Blind Super-Resolution

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV20251 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2022

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…

cs.CV2019

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…