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Session: Video Analysis and Action Recognition, Friday 9 November 2012

Sequential Reconstruction Segment-Wise Feature Track and Structure Updating Based on Parallax Paths

Mauricio Hess-Flores1, Mark A. Duchaineau2, and Kenneth I. Joy1

1 Institute for Data Analysis and Visualization, University of California, Davis, USAmhessf@ucdavis.edu, kenneth.i.joy@gmail.com

2 Lawrence Livermore National Laboratory, Livermore, CA, USAduchaine@google.com (Now at Google, Inc.)

Poster ID:PF-14

Mauricio Hess-Flores1, Mark A. Duchaineau2, and Kenneth I. Joy1

1 Institute for Data Analysis and Visualization, University of California, Davis2 Lawrence Livermore National Laboratory (now at Google, Inc.)

Sequential Reconstruction Segment-Wise Feature Track and Structure Updating Based on Parallax Paths

Results:

PredictionConstraintsConceptMotivation

Feature track outlier detection and correction

Drift detection and correction

Improvement in scene structure

Parallax paths concept and constraints:

Inter-camera

Intra-camera

Replicas

Parallax paths

(a) (b) (c) (d)