Sketch-based tree modeling using Markov random field
Sketch
Markov random field
Tree (set theory)
Sketch recognition
DOI:
10.1145/1409060.1409062
Publication Date:
2008-12-03T21:56:04Z
AUTHORS (5)
ABSTRACT
In this paper, we describe a new system for converting user's freehand sketch of tree into full 3D model that is both complex and realistic-looking. Our does by probabilistic optimization based on parameters obtained from database models. The best matching selected comparing its 2D projections with the sketch. Branch interaction modeled Markov random field, subject to constraint projection then uses notion self-similarity add branches before finally populating all leaves choice. We show variety natural-looking models generated sketches only few strokes.
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