6 accepted papers
We propose a new orientation-aware scene descriptor ReLoc-Aligner for re-localization of a 3D point cloud. Re-localization within a 3D point cloud map is crucial for conducting Simultaneous Localization and Mapping (SLAM). Existing re-localization or place recognition methods of 3D LiDAR sensor data…
We present a method to manipulate virtual objects which are constrained complexly and reconfigurable as if they would exist in a real world by using multiple hands simultaneously. A complexly constrained, and reconfigurable object, such as a Rubik's cube, is hard to describe its physical motion cons…
We propose a direct object manipulation system that a user can manipulate objects constrained to each other by his or her hands. Because there is no haptic feedback to a user, manipulation of constrained objects is much harder than that of a simple rigid body. In addition, many physics simulator usu…
We aim to automatically identify all individual leaves in a monocotyledon image. Leaf identification is one of key technologies to acquire plant phenotypes such as a leaf length, a leaf count, and a growth rate. However, it is challenging to identify individual leaves from a monocotyledonous plant i…
We propose a method to induce a realistic two-hand manipulation of virtual objects by representing their reactions to multiple contacts of hands and fingers in a unified way. One of the key problems in achieving physics-based virtual interaction is that there is no accurate haptic feedback to the us…
We propose an intuitive user interaction system with virtual objects by directly using user's hands through a physics simulation. This system aims to provide a more direct way to manipulate and interact with virtual objects and to induce more realistic reactions of the virtual objects in the interac…