Dan B Goldman
Papers
2
Total Citations
292
H-Index
2
About
Dan B Goldman is a leading researcher in computer graphics and vision, with a focus on 3D reconstruction and physically based simulation. His most cited work, "Neural RGB-D Surface Reconstruction" (2022, 277 citations), pioneers high-quality, room-scale 3D modeling from RGB-D data, a critical enabler for augmented and virtual reality applications such as teleconferencing, virtual planning, and robotics. This contribution advances neural implicit representations, bridging the gap between volumetric methods and surface fidelity. Earlier, Goldman explored biomechanics and robotics with "Walking and running on yielding and fluidizing ground" (2012, 15 citations), where he studied the locomotor dynamics of a small, lightweight robot (DynaRoACH) on granular media. This work demonstrated speeds up to 50 cm/s, rivaling desert lizards, and provided insights into robot-terrain interaction for unstructured environments. His research spans from foundational physics-based animation to cutting-edge neural reconstruction, reflecting a career dedicated to enabling machines to perceive and move through the physical world with unprecedented realism and efficiency.
Research Focus
Key Achievements
Top Papers
- 1Neural RGB-D Surface Reconstruction277 citations · 2022
- 2Walking and running on yielding and fluidizing ground15 citations · 2012