Removal of moving objects and inconsistencies in color tone for an omnidirectional image database

Authors:
Maiya Hori;Hideyuki Takahashi;Masayuki Kanbara;Naokazu Yokoya
Affiliations:
Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan
Venue:
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Year:
2010

Citing 4
Cited 0

Removing Shadows from Images

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
"GrabCut": interactive foreground extraction using iterated graph cuts

ACM SIGGRAPH 2004 Papers
Novel stereoscopic view generation by image-based rendering coordinated with depth information

SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Blue sky detection for picture quality enhancement

ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a method for removing image inconsistencies which occur by an existence of moving objects or a change of illumination condition when an omnidirectional image database is generated. The database is used for archiving an outdoor scene in wide areas or generating novel view images with an image-based rendering approach. In related work, it is difficult to remove moving objects in an outdoor environment where illumination condition drastically changes, and to remove inconsistencies of color tone of images which included moving objects. The proposed method iterates the two processes which are the estimation of candidate region of moving objects and the achievement of color consistency to split regions. The color consistency is achieved by estimating linear color transformation parameters which change a histogram of an input image to that of the standard image.