Depth Guided Detection of Salient Objects

Łukasz Dąbała , Przemysław Rokita

Abstract

Saliency estimation is a complex problem of computer vision area, which results can enhance many tools or applications. In most of existing solutions, data that comes from stereopsis was not involved. We propose an algorithm, that adds depth information to detection of important objects in the scene. We show and confirm, that the whole problem of salient objects detection can be decomposed into series of simple image processing operations. To verify functioning and performance of the method, we test it on available RGBD datasets.
Author Łukasz Dąbała II
Łukasz Dąbała,,
- The Institute of Computer Science
, Przemysław Rokita II
Przemysław Rokita,,
- The Institute of Computer Science
Pages197-205
Publication size in sheets0.5
Book Chmielewski Leszek J. , Datta Amitava, Kozera Ryszard, Wojciechowski Konrad (eds.): Computer Vision and Graphics,International Conference, ICCVG 2016, Proceedings, Lecture Notes In Computer Science. Image Processing, Computer Vision, Pattern Recognition, and Graphics, vol. 9972, no. 1, 2016, Springer International Publishing, ISBN 978-3-319-46417-6, [978-3-319-46418-3], 658 p., DOI:10.1007/978-3-319-46418-3
DOIDOI:10.1007/978-3-319-46418-3_18
URL http://www.springer.com/gp/book/9783319464176
projectDevelopment of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
File
ICCVG_2016_D_R_99720018.pdf 1.38 MB
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
Citation count*0 (2018-07-17)
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