Larsen, Anders Boesen Lindbo1; Hviid, Marchen Sonja5; Larsen, Rasmus1; Dahl, Anders Lindbjerg4
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 Danish Meat Research Institute4 Technical University of Denmark5 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