DocumentCode
678619
Title
Depth-based segmentation — A review
Author
Gupta, Neeraj ; Weipeng Xu ; Kamboj, Divya
Author_Institution
Comput. Sci. Dept., Amity Univ., Noida, India
fYear
2013
fDate
4-6 July 2013
Firstpage
1
Lastpage
9
Abstract
Computer Vision describes some of its typical assignments as motion analysis, scene reconstruction, image restoration and image segmentation. Enormous tasks could be demonstrated while segmenting an image. The goal might be stated as, “Extraction of object from background” or “Analysing sharp edges in the image”. The goal could be any, but the initial information needed to visualize the difference between different segments of image, should be accurately picked and evaluated. This paper talks about such an initial information i.e. depth value of image pixels and gives an insight of its importance in the field of Image segmentation. Moreover, the paper also describes some of the typical techniques to incur depth information in the process of segmentation, solely or combined with other pixel values like color.
Keywords
computer vision; image segmentation; computer vision; depth based segmentation; depth information; image pixel depth value; image segmentation; initial information; object extraction; Bayes methods; Image color analysis; Image edge detection; Image segmentation; Labeling; Merging; Motion segmentation; CRF (Conditional Random Field); MRF (Markov Random Field); RGB-D segmentation; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location
Tiruchengode
Print_ISBN
978-1-4799-3925-1
Type
conf
DOI
10.1109/ICCCNT.2013.6726815
Filename
6726815
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