Takafumi Taketomi

Nara Institute of Science and Technology, Huawei Technologies (China)

Papers

Total Citations

781

H-Index

About

Takafumi Taketomi is a prominent computer vision and robotics researcher whose work spans simultaneous localization and mapping (SLAM), augmented reality, and non-rigid motion estimation. He is perhaps best known for his highly influential 2017 survey, "Visual SLAM Algorithms: A Survey from 2010 to 2016," which has accumulated over 700 citations and has become an essential reference for researchers and practitioners entering the field. This comprehensive review synthesized advances in camera-based SLAM — a critical technology enabling robots and AR systems to navigate and map unknown environments in real time — establishing Taketomi as a key synthesizer and communicator of foundational knowledge in the discipline. Beyond his survey contributions, Taketomi has pushed the boundaries of 3D scene understanding through his involvement in "4DComplete," a novel approach to non-rigid motion estimation that reconstructs dynamic scenes beyond what range sensors can directly observe. By addressing the persistent challenge of occlusions and incomplete surface data, this work opens new possibilities for more robust AR/VR experiences and robotic perception. Collectively, Taketomi's research reflects a deep commitment to bridging theoretical computer vision with practical, real-world applications in robotics and immersive technologies.