In this paper we present a method for estimating the absolute pose of a rigid object based on intensity and depth viewbased eigenspaces, built across multiple views of example obj...
We present a pose estimation method for rigid
objects from single range images. Using 3D models of the
objects, many pose hypotheses are compared in a data-parallel
version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimat...