Filtering, Segmentation, and Depth
Filtering, Segmentation, and Depth
Cooperative Robust Estimation Using Layers of Support
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Continuous Shape Descriptor by Orientation Diffusion
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Amodal volume completion: 3D visual completion
Computer Vision and Image Understanding
A Variational Model for Capturing Illusory Contours Using Curvature
Journal of Mathematical Imaging and Vision
Level Set Based Surface Capturing in 3D Medical Images
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Amodal volume completion: 3D visual completion
Computer Vision and Image Understanding
| Hi-index | 0.00 |
All illusory surface figures yield a perception of a surface occluding another one or the background. Occluded surfaces yield completion, a phenomena known as amodal completions. It is intriguing that for some images illusory surfaces are perceived, but not for other images (see figure I). Also, illusory surfaces may have portions occluded. We aim to understand these phenomena.Our approach detects intensity edges and junctions. From the junctions we seek to find an optimal image organization, i.e., multiple ordered surfaces with the ordering accounting for salience. The most salient being the figure, while the other surfaces are classified as background. A decision of which surface is the visible one (on top) is made locally. at each pixel, allowing the salient surface (figure) to have portions occluded, i.e., with amodal completions. We account for a variety of imagery not explained before.