Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

This paper presents a particle filtering approach for 6-DOF object pose tracking using an
RGB-D camera. Our particle filter is massively parallelized in a modern GPU so that it …

This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …

We present a real-time algorithm to estimate the 3D pose of a previously unseen face from a
single range image. Based on a novel shape signature to identify noses in range images …

To protect processor logic from soft errors, multicore redundant architectures execute two
copies of a program on separate cores of a chip multiprocessor (CMP). Maintaining identical …

We present an approach for recognizing objects present in a scene and estimating their full
pose by means of an accurate 3D instance-aware semantic reconstruction. Our framework …

In this paper we propose CUDA-based implementations of two 3D point sets registration
algorithms: Soft assign and EM-ICP. Both algorithms are known for being time demanding …

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 the …

This paper presents a novel framework for partial matching and retrieval of 3-D models
based on a query-by-range-image approach. Initially, salient features are extracted for both …

Range images often suffer from issues such as low resolution (LR)(for low-cost scanners)
and presence of missing regions due to poor reflectivity, and occlusions. Another common …