The representation of gestures changes dynamically, depending on camera viewpoints. This camera viewpoints problem is difficult to solve in environments with a single directional ...
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of ...
Markus Ulrich, Christian Wiedemann, Carsten Steger
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...