An explorative study on pork loin recognition

Anders Boesen Lindbo Larsen, Marchen Sonja Hviid, Rasmus Larsen, Anders Lindbjerg Dahl

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

275 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationWorkshop on Farm Animal and Food Quality Imaging 2013 : Espoo, Finland, June 17, 2013, Proceedings
Place of PublicationKgs. Lyngby
PublisherTechnical University of Denmark
Publication date2013
Publication statusPublished - 2013
EventWorkshop on Farm Animal and Food Quality Imaging 2013 - Espoo, Finland
Duration: 17 Jun 201317 Jun 2013


WorkshopWorkshop on Farm Animal and Food Quality Imaging 2013
Internet address
SeriesDTU Compute-Technical Report-2013

Fingerprint Dive into the research topics of 'An explorative study on pork loin recognition'. Together they form a unique fingerprint.

Cite this