Extracting Salient Curves from Images: An Analysis of the Saliency Network
International Journal of Computer Vision
A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Complexity, Confusion, and Perceptual Grouping. Part II: Mapping Complexity
Journal of Mathematical Imaging and Vision
Complexity, Confusion, and Perceptual Grouping. Part II: Mapping Complexity
International Journal of Computer Vision - Joint special issue on image analysis
Object-level structured contour map extraction
Computer Vision and Image Understanding
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
The generalized A* architecture
Journal of Artificial Intelligence Research
| Hi-index | 0.00 |
The Saliency Network proposed by Shashua and Ullman is a well-known approach to the problem of extracting salient curves from images while performing gap completion. This paper analyzes the Saliency Network. Although the network is attractive for a number reasons, our analysis reveals certain weaknesses with the method. In particular, we show cases in which the most salient element does not lie on the perceptually most salient curve. Furthermore, the saliency measure may change its preferences when curves are scaled uniformly. Also, for certain fragmented curves the measure prefers large gaps over a few small gaps of the same total size. We analyze the time complexity required by the method and discuss problems due to coarse sampling of the range of possible orientations. We show that with proper sampling the complexity of the network becomes cubic in the size of the network. Finally, we consider the possibility of using the Saliency Network for grouping. We show that the Saliency Network recovers the most salient curve efficiently, but it has problems with identifying any salient curve other than the most salient one.