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AAAI
1993
15 years 3 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
CVIU
2004
131views more  CVIU 2004»
15 years 2 months ago
Part-level object recognition using superquadrics
This paper proposes a technique for object recognition using superquadric built models. Superquadrics, which are three-dimensional models suitable for part-level representation of...
Jaka Krivic, Franc Solina
117
Voted
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 9 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
CVPR
2003
IEEE
16 years 4 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
ANSS
2002
IEEE
15 years 7 months ago
Modelica-A General Object-Oriented Language for Continuous and Discrete-Event System Modeling and Simulation
Modelica is a general equation-based object-oriented language for continuous and discrete-event modeling of physical systems for the purpose of efficient simulation. The language ...
Peter Fritzson, Peter Bunus