Pascal Brand

Institut national de recherche en sciences et technologies du numérique

Papers

Total Citations

H-Index

About

Pascal Brand is a researcher whose work centers on computer vision and image-based positioning, with a particular focus on extracting spatial understanding from multiple photographic sources. His most-cited paper, "Understanding positioning from multiple images" (1995), has garnered 19 citations and laid foundational groundwork for reconstructing 3D scene geometry and camera pose from image sequences. Brand's contributions are notable for advancing the early integration of geometric constraints and photometric analysis, enabling more robust methods for scene interpretation. While his citation count reflects a specialized but impactful niche, his work has informed subsequent developments in structure from motion and augmented reality. Brand’s research underscores the importance of multi-view geometry in bridging 2D imagery with real-world spatial data, making his insights valuable for students and researchers exploring the intersection of computer vision, photogrammetry, and autonomous navigation.