Kouma Motooka
Papers
1
Total Citations
3
H-Index
1
About
Kouma Motooka is a researcher in computer vision and 3D reconstruction, with a primary focus on ground surface modeling from stereo imagery. His most notable contribution is the development of a method for direct ground surface reconstruction from stereo images, which estimates the heights of vertices in a square grid mesh to produce accurate, triangular-patch-based terrain models. This work, published in 2013, has garnered 3 citations and addresses a key challenge in autonomous navigation and environmental mapping: recovering smooth, continuous ground surfaces from paired camera inputs without intermediate disparity maps. Motooka’s approach is particularly valuable for robotics and augmented reality applications, where real-time, reliable ground plane estimation is critical. While his citation count is modest, his targeted innovation in direct mesh-based reconstruction offers a practical alternative to traditional dense stereo methods, emphasizing efficiency and geometric fidelity. His research contributes to the broader field of 3D scene understanding, providing a foundation for further advancements in terrain-aware systems.
Research Focus
Key Achievements
Top Papers
- 1Direct Ground Surface Reconstruction from Stereo Images3 citations · 2013