Processing entire movies and taking advantage of the inter-frame redundancy is the key of shape-from-motion analysis. Thus, recovering the depth of a xed scene from an image sequence can be viewed as a movie processing problem : how to focus the redundant depth information of a noisy image sequence into a perfect depth-coherent movie ? We present a natural set of axioms in agreement with the de...

In this paper, we introduce a new method for depth perception from a 2D natural scene using scale variation of patterns. As the surface from a 2D scene gets farther away from us, the texture appears finer and smoother. Texture gradient is one of the monocular depth cues which can be represented by gradual scale variations of textured patterns. To extract feature vectors from textured patterns, ...

We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of “dependency”. This algorithm uses a depth-first search strategy to find out the maximal subspaces: a new dimension is added to current k-subspace and its validity as a (k 1)-subspace is evaluated. The clusters within those maximal subspaces are mined in a similar fashion as maxi...