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Vectorial Distortion For Performance Evaluation Current investigations …. Mathieu Delalandre and Ernest Valveny Meeting of Document Analysis Group Computer.

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Presentation on theme: "Vectorial Distortion For Performance Evaluation Current investigations …. Mathieu Delalandre and Ernest Valveny Meeting of Document Analysis Group Computer."— Presentation transcript:

1 Vectorial Distortion For Performance Evaluation Current investigations …. Mathieu Delalandre and Ernest Valveny Meeting of Document Analysis Group Computer Vision Center Barcelona, Spain Thursday 21th February 2007

2 Introduction Performance Evaluation of Graphics Recognition Systems Binary Noise Groundtruthing Synthetic Document Vectorial Distortion

3 Introduction Vectorial Distortion You see 5 You have 9 Noise related to layer model and viewer Noise related to user Noise related to image processing Document Understanding Computer Aided Design On-line sketch How to improve them ? Existing methods produce no “real” distortions Vectorial noise is liked to a produce model

4 Introduction Hand-Sketch Distortion True-life Database Characterisation Process “set of criteria” System proposal How to define a system allowing to generate “realistic” distortion 43 classes, 5370 symbols Main features of hand-sketches CVC Database The purpose is to copy realistic noise To do a characterisation process

5 Characterisation in progress … sketch proportions are few respected” dxdx dydy symbol (s) and model (m)

6 straight lines look like curves and orientations are few respected Characterisation in progress …

7 relative positioning of strokes are respected but not junctions Characterisation in progress … users use stroke sequences

8 First System Current proposal Curve distortion Line shockScale distortion 1 23 4 5 6 7 {21,13,34} {42} {76,65,54} Line graph Stroke sequence Model Previous works

9 First System Curve Distortion Barraud’05 “Bezier approximation” (1) Line split to polyline using a regular gap (2) Circle projection of points using a parameter Obtained points correspond to control point P i of Bezier curve Bezier curve Bernstein polynomial

10 First System Curve Distortion Barraud’05 “clipping effect” (1) Split the curve according dominant control point (2) Delete a fixed rate of smallest curves

11 First System Curve Distortion Proposed improvements (1) To formalize the point selection as a sampling process (2) To perform a random selection of points(3) To use a Gaussian projection of points f s =0.08f s =0.1

12 First System Line Shock ICDAR’07 variance: 0.001 0.005 0.010 scaling rotation moving v0 x s  [0,1] y v max (b)(a)

13 Questions and Discussions


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