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Leaf Segmentation using the Kinect
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6096-3648
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-5698-5983
Institut de Robotica i Informatica Industrial, Barcelona, Spain.
2011 (English)In: Proceedings of SSBA 2011 Symposium on Image Analysis, 2011Conference paper, Published paper (Other (popular science, discussion, etc.))
Abstract [en]

Segmentation is an important preprocessing step in many applications. Purely colour-based segmentation is often problematic. For this reason, we here investigate fusion of depth and colour information, to facilitate robust segmentation of single images. We evaluate segmentation results on data collected using the Microsoft Kinect peripheral for Xbox 360, using superparamagnetic clustering. We also propose a method for aligning and encoding colour and depth information from the Kinect device. As we show in the paper, the fusion of depth and colour information produces more semantically relevant segments for scene analysis than either depth or colour separately.

Place, publisher, year, edition, pages
2011.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-70768OAI: oai:DiVA.org:liu-70768DiVA: diva2:441482
Conference
SSBA 2011, Linköping 14-18 March 2011
Projects
Embodied Visual Object RecognitionGARNICS
Available from: 2011-09-16 Created: 2011-09-16 Last updated: 2016-05-04

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Wallenberg, MarcusFelsberg, MichaelForssén, Per-Erik

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