Chang-Hsian Ma

Papers

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About

Chang-Hsian Ma is a researcher at the forefront of computational vision and robotic manipulation, with a primary focus on automated jigsaw puzzle reconstruction and image processing. Ma’s major contributions lie in developing efficient algorithms that bridge computer vision and robotics, particularly in solving the complex geometric and colorimetric challenges of fragment reassembly. In their most cited work, "An Efficient Fragment Reconstruction Using RANSAC Algorithm" (2019, 5 citations), Ma introduced a method that leverages the RANSAC algorithm alongside SIFT feature extraction to dramatically reduce computational time for reconstructing images from fragments when the original is accessible. This work demonstrates a practical approach to a classic computer vision problem. Building on this foundation, Ma’s "Vision-Based Jigsaw Puzzle Solving with a Robotic Arm" (2023, 3 citations) extends the research into physical robotics, proposing novel color compatibility features for puzzle reconstruction in both guided and unguided scenarios. By calculating transformation matrices to determine real-world piece positions, this work showcases a seamless integration of vision algorithms with robotic arm control, highlighting Ma’s ability to translate theoretical image processing into tangible, automated systems. These contributions mark Ma as an innovator in applied computer vision and robotics.