Channel Coding for Joint Colour and Depth Segmentation
2011 (English)In: Proceedings of Pattern Recognition 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2 / [ed] Rudolf Mester and Michael Felsberg, SpringerLink , 2011, 306-315 p.Conference paper (Refereed)
Segmentation is an important preprocessing step in many applications. Compared to colour segmentation, fusion of colour and depth greatly improves the segmentation result. Such a fusion is easy to do by stacking measurements in different value dimensions, but there are better ways. In this paper we perform fusion using the channel representation, and demonstrate how a state-of-the-art segmentation algorithm can be modified to use channel values as inputs. We evaluate segmentation results on data collected using the Microsoft Kinect peripheral for Xbox 360, using the superparamagnetic clustering algorithm. Our experiments show that depth gradients are more useful than depth values for segmentation, and that channel coding both colour and depth gradients makes tuned parameter settings generalise better to novel images.
Place, publisher, year, edition, pages
SpringerLink , 2011. 306-315 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 6835
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-70708DOI: 10.1007/978-3-642-23123-0_31ISBN: 978-3-642-23122-3OAI: oai:DiVA.org:liu-70708DiVA: diva2:441260
33rd DAGM Symposium, Frankfurt 29 August - 2 September 2011