Name
Abstract | ||
|---|---|---|
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth relationships of depicted objects. According to Kanizsa, mechanisms called a modal and modal completion permit to transform these local relative depth cues into a global depth reconstruction. In this paper, we propose a mathematical and computational translation of gestalt depth perception theory, from the detection of local depth cues to their synthesis into a consistent global depth perception. The detection of local depth cues is built on the response of a line segment detector (LSD), which works in a linear time relative to the image size without any parameter tuning. The depth synthesis process is based on the use of a nonlinear iterative filter which is asymptotically equivalent to the Perona-Malik partial differential equation (PDE). Experimental results are shown on several real images and demonstrate that this simple approach can account a variety of phenomena such as visual completion, transparency and self-occlusion. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICVGIP.2008.97 | ICVGIP |
Keywords | DocType | Citations |
visualization,iterative methods,image segmentation,partial differential equation,visual system,visual perception,computational modeling,image reconstruction,depth perception,pde,linear time,shape | Conference | 7 |
PageRank | References | Authors |
0.46 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariella Dimiccoli | 1 | 89 | 18.29 |
| Jean-Michel Morel | 2 | 3590 | 228.85 |
| Philippe Salembier | 3 | 603 | 87.65 |