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...
We present a new method for registering multiple 3D scans of a colored object. Each scan is regarded as a color and range image of the object recorded by a pinhole camera. Conside...
Kari Pulli, Simo Piiroinen, Tom Duchamp, Werner St...
— This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre-defined features for the detection and tracking o...
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
Object pose (location and orientation) estimation is a
common task in many computer vision applications. Although
many methods exist, most algorithms need manual
initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...