Dapeng Chen

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About

Dapeng Chen is a researcher specializing in 3D computer vision and geometric data processing, with a particular focus on point cloud registration and multi-view range scan alignment. His most recognized contribution, "Weighted Motion Averaging for the Registration of Multi-View Range Scans" (2017), addresses the challenging problem of consistently aligning multiple 3D scans into a unified coordinate framework — a fundamental task in applications ranging from 3D reconstruction and robotics to cultural heritage digitization. In this work, Chen introduced a weighted averaging approach to motion estimation that improves robustness and accuracy when integrating pairwise registration results across multiple viewpoints, a meaningful advancement over traditional iterative methods. The paper has garnered 19 citations, reflecting its relevance within the specialized community of 3D data processing researchers. Chen's work contributes to bridging the gap between raw sensor data and coherent geometric models, supporting downstream applications in autonomous navigation, augmented reality, and scene understanding. His research demonstrates a careful blend of mathematical rigor and practical applicability, making his contributions valuable to both academic researchers and engineers working with real-world 3D sensing systems.