Now showing items 1-2 of 2

  • Object recognition using depth maps and machine learning technologies.

    T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
    Authors: Kounalakis, Tsampikos
    Thesis advisor: Triantafyllidis, Georgios
    Publication Date: 14-04-2011
    This paper presents a novel system that is fusing efficient and state-of-the-art techniques of stereo vision and machine learning, aiming at object detection and recognition. To this goal, the system initially creates depth ...
  • Fast 3d scene object detection and real size estimation using microsoft kinect sensor

    T.E.I. of Crete, School of Engineering (STEF), Department of Informatics Engineering
    Authors: Dimitriou, Michail
    Thesis advisor: Triantafyllidis, Georgios
    Publication Date: 10-07-2013
    This work presents an efficient and complete system for multiple object detection and classification in a 3D scene using the Microsoft Kinect sensor. It employs a new and fast detection method based on the depth map generated ...