Michael Kolomenkin (EE, Technion)
Tuesday, 12.3.2013, 11:30
Curves on objects can convey the inherent features of the shape. Edge
detection in images has been a fundamental problem in computer vision from
its early days.
Edge detection on surfaces, on the other hand, has received much less attention.
This talk defines a new class of view-independent curves on surfaces,
denoted relief edges. In a nutshell, these curves are the loci of the
"strongest" inflections on the surface.
We also propose a general framework for automatically detecting the optimal
scale for each point on the surface. Due to their appealing capabilities to
extract and emphasize 3D textures, our curves are applied to artifact
illustration in archaeology, where they can serve as a worthy alternative to
manual drawing.We also address the opposite problem - automatic
reconstruction of a surface from a line drawing. Reconstruction is
challenging due to the sparsity of the strokes, their ambiguity, their large
number, and their inter-relations.
Our approach is able to reconstruct a model from a complex drawing that
consists of many inter-related strokes. Rather than viewing the
inter-dependencies as a problem, we show how they can be exploited to
automatically generate a good initial interpretation of the line drawing.
PhD seminar under the supervision of Prof. Ayellet Tal and Ilan Shimshoni