Note: Generalized optical flow in the scale space
Computer Vision and Image Understanding
A stochastic grammar of images
Foundations and Trends® in Computer Graphics and Vision
Perceptual Scale-Space and Its Applications
International Journal of Computer Vision
Constrained Monocular Obstacle Perception with Just One Frame
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Intrackability: Characterizing Video Statistics and Pursuing Video Representations
International Journal of Computer Vision
Using grammars for pattern recognition in images: A systematic review
ACM Computing Surveys (CSUR)
| Hi-index | 0.00 |
In this paper, we study a perceptual scale space by constructing a so-called sketch pyramid which augments the Gaussian and Laplacian pyramid representations in traditional image scale space theory. Each level of this sketch pyramid is a generic attributed graph 驴 called the primal sketch which is inferred from the corresponding image at the same level of the Gaussian pyramid. When images are viewed at increasing resolutions, more details are revealed. This corresponds to perceptual transitions which are represented by topological changes in the sketch graph in terms of a graph grammar. We compute the sketch or perceptual pyramid by Bayesian inference upwards-downwards the pyramid using Markov Chain Monte Carlo reversible jumps. We show two example applications of this perceptual scale space: (1) motion tracking of objects over scales, and (2) adaptive image displays which can efficiently show a large high-resolution image in a small screen (of a PDA for example) through a selective tour of its image pyramid. Other potential applications include super-resolution and multi-resolution object recognition.