Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu
Home Research Areas Visual SLAM DirectShape: Direct Photometric Alignment of Shape Priors

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
research:vslam:direct-shape [2020/03/11 02:13]
Rui Wang
research:vslam:direct-shape [2020/03/11 02:16] (current)
Rui Wang
Line 13: Line 13:
  
 ===== Download ===== ===== Download =====
-  * ICRA 2020 paper: {{:​research:​vslam:​direct-shape:​wang2020directshape.pdf|paper}}. Derivation of all the analytical Jacobians and more qualitative results are provided in: {{:​research:​vslam:​direct-shape:​DirectShape_supp.pdf|supplementary document}}. \\+  * ICRA 2020 paper: {{:​research:​vslam:​direct-shape:​wang2020directshape.pdf|paper}}. Derivation of all the analytical Jacobians and more qualitative results are provided in: {{:​research:​vslam:​direct-shape:​DirectShape_supp.pdf|supplementary document}}. They are also available on [[https://​arxiv.org/​abs/​1904.10097|arxiv]].\\
   * Validation splits of KITTI Object 3D: {{:​research:​vslam:​direct-shape:​val1.txt|val1.txt}} (used by Mono3D, 3DOP and MLF), {{:​research:​vslam:​direct-shape:​val2.txt|val2.txt}} (used by Deep3DBox).\\   * Validation splits of KITTI Object 3D: {{:​research:​vslam:​direct-shape:​val1.txt|val1.txt}} (used by Mono3D, 3DOP and MLF), {{:​research:​vslam:​direct-shape:​val2.txt|val2.txt}} (used by Deep3DBox).\\
   * 3D pose evaluation results on KITTI Object 3D: tba \\   * 3D pose evaluation results on KITTI Object 3D: tba \\

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de