SemanticPaint: interactive segmentation and learning of 3D world
We present a real-time, interactive system for the geometric reconstruction, object-class segmentation and learning of 3D scenes [Valentin et al. ]. Using our system, a user can walk into a room wearing a consumer depth camera and a virtual reality headset, and both densely reconstruct the 3D scene...
Prif Awduron: | Valentin, J, Vineet, V, Cheng, M-M, Kim, D, Shotton, J, Kohli, P, Nießner, M, Criminisi, A, Izadi, S, Torr, P |
---|---|
Fformat: | Conference item |
Iaith: | English |
Cyhoeddwyd: |
Association for Computing Machinery
2015
|
Eitemau Tebyg
-
SemanticPaint: interactive 3D labeling and learning at your fingertips
gan: Valentin, J, et al.
Cyhoeddwyd: (2015) -
SemanticPaint: interactive segmentation and learning of 3D worlds
gan: Golodetz, S, et al.
Cyhoeddwyd: (2015) -
Exploiting uncertainty in regression forests for accurate camera relocalization
gan: Valentin, J, et al.
Cyhoeddwyd: (2015) -
The semantic paintbrush: interactive 3D mapping and recognition in large outdoor spaces
gan: Miksik, O, et al.
Cyhoeddwyd: (2015) -
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction.
gan: Vineet, V, et al.
Cyhoeddwyd: (2015)