Title
Autonomous sensor planning for 3D reconstruction of complex objects from range images
Abstract
Presents a technique for determining a small set of views that allow the observation and acquisition of the surfaces of the objects present in a target scene through a range sensor that moves over a sphere containing that scene. No a priori knowledge about the shape of those objects is assumed. Instead of applying costly visibility analysis techniques from the beginning as in most previous approaches, a two-stage algorithm is proposed. The first stage is responsible for getting the majority of object surfaces through a voting scheme based on occlusion edges. Then, a second stage applies visibility analysis to fill holes left by the first stage due to self-occlusions
Year
DOI
Venue
1998
10.1109/ROBOT.1998.680899
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference
Keywords
Field
DocType
computer vision,edge detection,image reconstruction,iterative methods,object recognition,3D reconstruction,autonomous sensor planning,complex objects,occlusion edges,range images,range sensor,self-occlusions,two-stage algorithm,visibility analysis,voting scheme
Iterative reconstruction,Computer vision,Visibility,Iterative method,Computer science,Edge detection,A priori and a posteriori,Artificial intelligence,Small set,3D reconstruction,Cognitive neuroscience of visual object recognition
Conference
Volume
ISSN
ISBN
4
1050-4729
0-7803-4300-X
Citations 
PageRank 
References 
6
0.66
9
Authors
4
Name
Order
Citations
PageRank
Miguel Ángel Garcia122024.41
Susana Velázquez2171.74
Angel Domingo Sappa35810.63
Luis Basañez442024.93