Souhaiel Khalfaoui

Papers

Total Citations

H-Index

About

Souhaiel Khalfaoui is a researcher whose work lies at the intersection of computer vision, 3D digitization, and autonomous robotic perception. His key contributions center on developing intelligent view planning strategies for the automatic 3D reconstruction of unknown objects—a critical challenge in fields ranging from cultural heritage preservation to industrial inspection. In his seminal 2012 paper, "View Planning Approach for Automatic 3D Digitization of Unknown Objects," Khalfaoui introduced a novel framework that enables a sensor to autonomously determine optimal viewpoints for capturing complete, high-fidelity 3D models without prior knowledge of the object's geometry. This work, which has accumulated over 6 citations, laid foundational groundwork for next-generation scanning systems that minimize human intervention while maximizing data quality. By addressing the "next-best-view" problem in real-time, Khalfaoui's research bridges the gap between theoretical algorithms and practical deployment, offering scalable solutions for digitizing complex, unstructured environments. His achievements reflect a deep commitment to advancing automation in 3D sensing, making him a notable figure for students and researchers exploring autonomous robotics, computer graphics, and digital heritage.