Larsen, Anders Boesen Lindbo3; Hviid, Marchen Sonja6; Larsen, Rasmus1; Dahl, Anders Lindbjerg5
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Image Analysis & Computer Graphics, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Department of Informatics and Mathematical Modeling, Technical University of Denmark4 Danish Meat Research Institute5 Technical University of Denmark6 Danish Meat Research Institute
Bag-of-words (BoW) image description has shown good performance for a large variety of image recognition scenarios. We investigate approaches to alleviating a standard BoW image description pipeline representations for the specific task of recognizing pork loins. Specifically, we extend the BoW description to include depth maps, perform non-rigid image registration to align the images, and apply PCA dimensionality reduction on the BoW descriptors. Our results show that the combination of image registration and PCA yields a more distinctive recognition.
Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings, 2013, p. 49-54
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Dtu Compute-technical Report-2013
Workshop on Farm Animal and Food Quality Imaging 2013