An explorative study on pork loin recognition

Autor:	Anders Boesen Lindbo Larsen, Marchen Sonja Hviid, Rasmus Larsen, Anders Lindbjerg Dahl
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition Physics::Space Physics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION InformationSystems_MISCELLANEOUS
Zdroj:	Larsen, A B L, Hviid, M S, Larsen, R & Dahl, A L 2013, An explorative study on pork loin recognition . in Workshop on Farm Animal and Food Quality Imaging 2013 : Espoo, Finland, June 17, 2013, Proceedings . Technical University of Denmark, Kgs. Lyngby, DTU Compute-Technical Report-2013, no. 12, pp. 49-54, Workshop on Farm Animal and Food Quality Imaging 2013, Espoo, Finland, 17/06/2013 . Technical University of Denmark Orbit
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::25f742f82be1fdc9fd0cb7c25bfbb13d https://orbit.dtu.dk/en/publications/7f589a28-b271-48ae-af4c-28baabfd7885 Zobrazit plný text záznamu