Identification and 3D description of `shallow' environmentalstructure in a sequence of images
Sawhney, H.S.
Hanson, A.R.
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA;
Abstract
A framework is presented for segmenting shallow structures from
their background over a sequence of images. Shallowness is first
quantified as affine describability. This is embedded in a tracking
system within which hypothesized model structures undergo a cycle of
prediction and model-matching. Structures emerge either as shallow or
non-shallow based on their affine trackability. This paper rejects
continuity heuristics for purely image motion in favor of temporal
continuity defined as the consistency of generic 3-D models, namely
shallow structures
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