Point-cloud processing for extracting geometric features is difficult due to the highly non-
linear rotation variance and measurement noise corrupting the data. To address these …

In this paper we propose a novel rotation normalization technique for point cloud processing
using an oriented bounding box. We use this method to create a point cloud annotation tool …

In this work we propose a novel next best view (NBV) generation algorithm for volumetric
information maximization. The primary data source is a Time-of-Flight (ToF) camera and the …

People recognition is a relevant subset of the generic image based recognition task with
many possible application areas such as security, surveillance, human-robot interaction or …

The focus of this paper is on the comparison of multiple neural network frameworks and the
their usage in 2D/3D robot perception applications. Numerous frameworks exists for this task …

3D point cloud recognition is a challenging problem that is growing fast, especially with the
development of acquisition cameras such as the Kinect that allows the generation of a lot of …

Recognizing behaviors is an important step for learning by imitation. Learning by imitation,
in the other hand, is considered as a method to acquire complex behaviors and as a way to …

The main goal of this work is to analyze the most suitable methods for segmenting and
classifying 3D point clouds using embedded GPU for mobile robots. We review the current …

We consider a robot that must sort objects transported by a conveyor belt into different
classes. Multiple observations must be performed before taking a decision on the class of …

Time-of-Flight (ToF) cameras are becoming popular in a wide span of areas ranging from
consumer-grade electronic devices to safety-critical industrial robots. This is mainly due to …