Lhoussain Bahatti

Papers

Total Citations

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About

Lhoussain Bahatti is a researcher whose work centers on computer vision, projector-camera systems, and intelligent display technologies. His key contributions lie in developing methods for auto-fitting multiple movable projections onto a single display screen, a challenge critical for immersive and adaptive visual environments. In his most cited paper, "Auto-fit multiple movable projections into one display screen" (2019), Bahatti introduces a system that uses a calibrated camera as feedback to dynamically align and merge projections from two or more mobile projectors onto a planar screen. This work addresses geometric and color inconsistencies, enabling seamless, large-scale displays without manual recalibration—a significant advancement for augmented reality and collaborative workspaces. While his citation count (2) reflects a niche but growing impact, the paper’s technical rigor and practical applicability highlight his role in advancing non-invasive, camera-based calibration techniques. Bahatti’s research bridges hardware and software, offering scalable solutions for multi-projector setups. His achievements underscore a dedication to solving real-world display challenges, making his work a valuable reference for students and engineers exploring adaptive projection systems and human-computer interaction.