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In Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. We present an algorithm for computing a representation of image
 

Summary: In Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001.
Abstract
We present an algorithm for computing a representation of image
structure, or image segmentation, and use it for selecting objects in
the image with freehand sketches drawn by the user over the
image. The sketches are mapped onto image segments whose union
forms the intended object. The mapping operation is performed
with the aid of a simplicial decomposition of the image segmenta­
tion ­ a triangulation formed with vertices chosen to lie along the
medial axes of the segments. Each edge of a triangle lies entirely
inside the two segments that contains its vertices. This decomposi­
tion captures the adjacency information about the segments as well
as the shape of the segment boundaries. Any object boundary is
completely contained in a set of triangles. The triangles are also
used to formulate the problem of estimating gradual photometric
transition across an object boundary, called alpha channel estima­
tion, as a set of local, intratriangle alpha channel estimation prob­
lems that can then be solved more accurately, independently, and
in parallel. Experimental results are included to show how the
algorithm allows selection of image objects with complex bound­

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering