Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2014
Abstract
In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. First, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form the background prior to eliminate background distraction. The second observation provides a new orientation cue to compute surface orientation contrast. These photometric cues from the two observations are independent of visual attributes like color, and they provide new and robust distinctiveness to support salient object detection. The second observation further leads to the introduction of new spatial priors to constrain the regions rendered salient to be compact both in the image plane and in 3D space. We have constructed a new flash/no-flash image dataset. Experiments on this dataset show that the proposed method successfully identifies salient objects from various challenging scenes that the state-of-the-art methods usually fail.
Keywords
Saliency detection, Flash photography, Background elimination, Surface orientation.
Discipline
Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
Proceedings of the 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12
Volume
8691 LNCS
Issue
PART 3
First Page
110
Last Page
124
ISBN
9783319105772
Identifier
10.1007/978-3-319-10578-9_8
Publisher
Springer Verlag
City or Country
Germany
Citation
HE, Shengfeng and LAU, Rynson W.H..
Saliency detection with flash and no-flash image pairs. (2014). Proceedings of the 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6-12. 8691 LNCS, (PART 3), 110-124.
Available at: https://ink.library.smu.edu.sg/sis_research/8432
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-319-10578-9_8