Fetching the paper…
Reading the bibliography…
In many robotic domains such as flexible automated manufacturing or personal assistance, a fundamental perception task is that of identifying and localizing objects whose 3D models are known.
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao, “3d shapenets: A deep representation for volumetric shapes,” in
1920
Earlier work this paper cites.
L. G. Roberts, “Machine perception of three-dimensional solids,” Ph.D. dissertation, Massachusetts Institute of Technology, 1963
1963
Earlier work this paper cites.
I. Pohl, “First results on the effect of error in heuristic search,”
1970
Earlier work this paper cites.
R. A. Brooks, “Symbolic reasoning among 3-d models and 2-d images,”
1981
Earlier work this paper cites.
D. G. Lowe, “Three-dimensional object recognition from single two-dimensional images,”
1987
Earlier work this paper cites.
C. Goad, “Special purpose automatic programming for 3d model-based vision,”
1987
Earlier work this paper cites.
D. G. Lowe, “The viewpoint consistency constraint,”
1987
Earlier work this paper cites.
W. E. L. Grimson and T. Lozano-Perez, “Localizing overlapping parts by searching the interpretation tree,”
1987
Earlier work this paper cites.
Y. Chen and G. Medioni, “Object modeling by registration of multiple range images,” in
1991
Earlier work this paper cites.
A. E. Johnson and M. Hebert, “Using spin images for efficient object recognition in cluttered 3d scenes,”
1999
Earlier work this paper cites.
M. R. Stevens and J. R. Beveridge,
2000
Cited alongside, same era.
M. R. Stevens and J. R. Beveridge, “Localized scene interpretation from 3d models, range, and optical data,”
2000
Cited alongside, same era.
R. B. Rusu, N. Blodow, and M. Beetz, “Fast point feature histograms (fpfh) for 3d registration,” in
2009
Cited alongside, same era.
R. B. Rusu, G. Bradski, R. Thibaux, and J. Hsu, “Fast 3d recognition and pose using the viewpoint feature histogram,” in
2010
Cited alongside, same era.
B. Drost, M. Ulrich, N. Navab, and S. Ilic, “Model globally, match locally: Efficient and robust 3d object recognition,” in
2010
Cited alongside, same era.
A. Aldoma, M. Vincze, N. Blodow, D. Gossow, S. Gedikli, R. B. Rusu, and G. Bradski, “Cad-model recognition and 6dof pose estimation using 3d cues,” in
A. Aldoma, F. Tombari, R. B. Rusu, and M. Vincze,
2012
Later among the works it cites.
A. Aldoma, F. Tombari, L. Di Stefano, and M. Vincze, “A global hypotheses verification method for 3d object recognition,” in
2012
Later among the works it cites.
J. Glover and S. Popovic, “Bingham procrustean alignment for object detection in clutter,” in
2013
Later among the works it cites.
S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, and N. Navab, “Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes,” in
2013
Later among the works it cites.
A. Aldoma, F. Tombari, J. Prankl, A. Richtsfeld, L. Di Stefano, and M. Vincze, “Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation,” in
2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2011
Cited alongside, same era.
W. Wohlkinger and M. Vincze, “Ensemble of shape functions for 3d object classification,” in
2011
Cited alongside, same era.
Z.-C. Marton, D. Pangercic, N. Blodow, and M. Beetz, “Combined 2d–3d categorization and classification for multimodal perception systems,”
2011
Cited alongside, same era.
A. Aldoma, Z.-C. Marton, F. Tombari, W. Wohlkinger, C. Potthast, B. Zeisl, R. B. Rusu, S. Gedikli, and M. Vincze, “Point cloud library,”
2012
Cited alongside, same era.
M. Schwarz, H. Schulz, and S. Behnke, “Rgb-d object recognition and pose estimation based on pre-trained convolutional neural network features.”
Cited in the paper.
R. Pimentel de Figueiredo, P. Moreno, A. Bernardino, and J. Santos-Victor, “Multi-object detection and pose estimation in 3d point clouds: A fast grid-based bayesian filter,” in
2013
Later among the works it cites.
S. Aine, S. Swaminathan, V. Narayanan, V. Hwang, and M. Likhachev, “Multi-Heuristic A*,” in
2014
Later among the works it cites.
V. Narayanan, S. Aine, and M. Likhachev, “Improved Multi-Heuristic A* for Searching with Uncalibrated Heuristics,” in
2015
Closest in time.
R. Feynman, “Lecture on Computer Heuristics,”
2015
Closest in time.