TY - GEN
T1 - Fast 3D scene object detection and real size estimation using Microsoft Kinect sensor
AU - Demetriou, Michael K.
AU - Kounalakis, Tsampikos
AU - Vidakis, Nikolaos
AU - Triantafyllidis, Georgios A.
PY - 2012
Y1 - 2012
N2 - This paper presents an efficient and fast system for object detection in a 3D scene using the capabilities of Microsoft Kinect sensor in depth map generation. Besides, the proposed method introduces a real size estimation of the detected objects. Successful 3D scene's object detection and real size calculation are crucial features in computer vision to the goal of making machines that see objects like humans do. In our system we employ effective depth map processing techniques, along with edge detection, connected components detection and filtering approaches, in order to design a complete algorithm for efficient object detection and real size calculation, even in complex scenes with many objects. Experimental results on three different 3D scenes are presented, showing the efficiency of the proposed design.
AB - This paper presents an efficient and fast system for object detection in a 3D scene using the capabilities of Microsoft Kinect sensor in depth map generation. Besides, the proposed method introduces a real size estimation of the detected objects. Successful 3D scene's object detection and real size calculation are crucial features in computer vision to the goal of making machines that see objects like humans do. In our system we employ effective depth map processing techniques, along with edge detection, connected components detection and filtering approaches, in order to design a complete algorithm for efficient object detection and real size calculation, even in complex scenes with many objects. Experimental results on three different 3D scenes are presented, showing the efficiency of the proposed design.
KW - Depth map
KW - Feature extraction
KW - Image segmentation
KW - Microsoft Kinect
KW - Object detection
UR - http://www.scopus.com/inward/record.url?scp=84864751445&partnerID=8YFLogxK
U2 - 10.2316/P.2012.779-026
DO - 10.2316/P.2012.779-026
M3 - Article in proceeding
AN - SCOPUS:84864751445
SN - 9780889869219
T3 - Proceedings of the IASTED International Conference on Computer Graphics and Imaging, CGIM 2012
SP - 254
EP - 260
BT - Proceedings of the IASTED International Conference on Computer Graphics and Imaging, CGIM 2012
T2 - IASTED International Conference on Computer Graphics and Imaging, CGIM 2012
Y2 - 18 June 2012 through 20 June 2012
ER -