Huang-Chia Shih

Papers

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About

Huang-Chia Shih is a researcher specializing in computer vision and robotics, with a focused interest in automated jigsaw puzzle solving and fragment reconstruction. His major contributions lie in developing efficient algorithms for reassembling fragmented images, a problem with significant implications for art restoration, archaeology, and industrial automation. Shih’s work notably leverages the RANSAC algorithm to dramatically reduce computational time in fragment reconstruction when the original image is accessible, as demonstrated in his 2019 paper (5 citations). He has also advanced the field by integrating robotic arms into the puzzle-solving process, proposing color compatibility features and transformation matrices to determine the real-world positions of pieces. His 2023 study (3 citations) examined both scenarios—with and without the original image—showcasing the versatility of his approach. Additionally, his 2018 work on a divide-and-conquer strategy (2 citations) further refined the ability to reposition nonoverlapping, randomly placed pieces. Through these contributions, Shih is bridging the gap between theoretical computer vision algorithms and practical robotic applications, offering scalable solutions for complex reconstruction tasks.