Chhay Sok

Papers

Total Citations

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About

Chhay Sok is a researcher whose work lies at the intersection of 3D data processing, computer vision, and autonomous robotics. His primary research focuses on developing robust algorithms for extracting meaningful information from noisy, high-dimensional range data—a critical challenge for applications like robotic navigation and object tracking. Sok’s most cited paper, "Convergent Smoothing and Segmentation of Noisy Range Data in Multiscale Space" (2008, 9 citations), introduced an adaptive smoothing algorithm that operates within a scale-space framework, using model-based masks to simultaneously reduce noise and segment data—a significant advance over traditional image-only techniques. Building on this, his 2010 work "Visually Aided Feature Extraction from 3D Range Data" (7 citations) tackled the problem of compressing the vast datasets produced by 3D laser scanners and cameras, proposing methods to robustly extract features crucial for autonomous systems. While his citation counts reflect a focused, specialized impact, Sok’s contributions are notable for bridging the gap between raw sensor output and actionable environmental understanding, laying groundwork for more efficient and reliable 3D perception in robotics.