TY - GEN
T1 - Saliency detection with flash and no-flash image pairs
AU - He, Shengfeng
AU - Lau, Rynson W. H.
PY - 2014/9
Y1 - 2014/9
N2 - 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. © 2014 Springer International Publishing.
AB - 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. © 2014 Springer International Publishing.
KW - Background elimination
KW - Flash photography
KW - Saliency detection
KW - Surface orientation
UR - https://www.scopus.com/pages/publications/84906499178
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84906499178&origin=recordpage
U2 - 10.1007/978-3-319-10578-9_8
DO - 10.1007/978-3-319-10578-9_8
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783319105772
VL - 8691 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 110
EP - 124
BT - Computer Vision, ECCV 2014
PB - Springer Verlag
T2 - 13th European Conference on Computer Vision, ECCV 2014
Y2 - 6 September 2014 through 12 September 2014
ER -