Shanmugalingam Suganthan

University of Ulster, University of Bath

Papers

Total Citations

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About

Shanmugalingam Suganthan’s research focuses on the computational interpretation of 3-D range data, with key contributions in feature extraction, edge detection, and planar surface extraction. His work addresses the critical challenge of reducing the computational burden of processing large volumes of raw range image data, which is essential for efficient scene understanding in robotics and computer vision. In his most cited paper, "Scalable Operators for Feature Extraction on 3-D Data" (2008, 3 citations), Suganthan proposed novel operators that enable efficient and scalable extraction of geometric features from complex 3-D datasets. He further advanced the field with "Using Dihedral Angles for Edge Extraction in Range Data" (2010, 2 citations), introducing a robust method for detecting edges based on angular relationships between surfaces. His paper "Single-step Planar Surface Extraction from Range Images" (2008, 2 citations) demonstrated a streamlined approach to directly interpret range images, significantly lowering computational costs. Though his citation counts are modest, Suganthan’s work provides foundational techniques for compact scene representation, making him a notable contributor to the early development of efficient 3-D data processing methods.