3-D Object Tracking with the Adaptive Hyperplane Approach Using SIFT Models for Initialization.

Christoph Gräßl Timo Zinßer Ingo Scholz Heinrich Niemann

Published in: MVA (2005)

Keyphrases

d objects
hyperplane
object recognition
cad models
geometric models
viewpoint
multi view
three dimensional
pose estimation
data points
support vector
model selection
multiple views
shape descriptors
spin images
physically plausible
machine learning
convex hull
object classes
three dimensional objects
active learning