DocumentCode :
3709972
Title :
Mapping with depth panoramas
Author :
Camillo J. Taylor;Anthony Cowley;Rafe Kettler;Kai Ninomiya;Mayank Gupta;Boyang Niu
Author_Institution :
GRASP Laboratory at the University of Pennsylvania, Philadelphia PA, USA
fYear :
2015
Firstpage :
6265
Lastpage :
6272
Abstract :
This work demonstrates the use of depth panoramas in the construction of detailed 3D models of extended environments. The paper describes an approach to the acquisition of such panoramic images using a robotic platform that collects sequences of depth images with a commodity depth sensor. These sequences are stitched into panoramic images that efficiently capture scene information while reducing noise in the captured imagery. Scene structure is extracted from the panoramas and used to register a collection of panoramas to obtain coverage of extended areas. The presented approach maintains fine geometry detail in 3D reconstructions, uses a modest amount of memory, and enjoys excellent scaling characteristics across large environments.
Keywords :
"Surface treatment","Surface morphology","Robot sensing systems","Optimization","Gravity","Three-dimensional displays"
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
Type :
conf
DOI :
10.1109/IROS.2015.7354271
Filename :
7354271
Link To Document :
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