DocumentCode
248751
Title
Correcting 3D scenes estimated from sets of multi-view images using shape-from-contours
Author
Grum, M. ; Bors, A.G.
Author_Institution
Dept. of Comput. Sci., Univ. of York, York, UK
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
2888
Lastpage
2892
Abstract
This paper proposes enforcing the consistency with segmented contours when modelling scenes with multiple objects from multi-view images. A certain rough initialization of the 3D scene is assumed to be available and in the case of multiple objects inconsistencies are expected. In the proposed shape-from-contours approach images are segmented and back-projections of segmented contours are used for enforcing the consistency of the segmented contours with 3D objects from the scene. We provide a study for the physical requirements for detecting occlusions when reconstructing 3-D scenes with multiple objects.
Keywords
image segmentation; natural scenes; 3D object; 3D scene correction estimation; contour segmentation; image segmentation; multiple object inconsistency; multiview image set; occlusion detection; rough initialization; shape-from-contour; Cameras; Image reconstruction; Image segmentation; Shape; Solid modeling; Surface reconstruction; Three-dimensional displays; 3D scene modelling; image segmentation; multi-view images; occlusions;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025584
Filename
7025584
Link To Document