2 citations · 5 across the 8 of their papers we have counts for
6 papers · 1 filter
Improved 3D Point-Line Mapping Regression for Camera Relocalization
Bach-Thuan Bui, Huy-Hoang Bui, Yasuyuki Fujii +2
In this paper, we present a new approach for improving 3D point and line mapping regression for camera re-localization. Previous methods typically rely on feature matching (FM) wit…
PainDiffusion: Learning to Express Pain
Quang Tien Dam, Tri Tung Nguyen Nguyen, Yuki Endo +2
Accurate pain expression synthesis is essential for improving clinical training and human-robot interaction. Current Robotic Patient Simulators (RPSs) lack realistic pain facial ex…
Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression
Huy-Hoang Bui, Bach-Thuan Bui, Dinh-Tuan Tran +1
Classical structural-based visual localization methods offer high accuracy but face trade-offs in terms of storage, speed, and privacy. A recent innovation, keypoint scene coordina…
Representing 3D sparse map points and lines for camera relocalization
Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran +1
Recent advancements in visual localization and mapping have demonstrated considerable success in integrating point and line features. However, expanding the localization framework…
D2S: Representing sparse descriptors and 3D coordinates for camera relocalization
Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran +1
State-of-the-art visual localization methods mostly rely on complex procedures to match local descriptors and 3D point clouds. However, these procedures can incur significant costs…
Fast and Lightweight Scene Regressor for Camera Relocalization
Thuan B. Bui, Dinh-Tuan Tran, Joo-Ho Lee
Camera relocalization involving a prior 3D reconstruction plays a crucial role in many mixed reality and robotics applications. Estimating the camera pose directly with respect to…