TY - GEN
T1 - Food region detection using Bag-of-Features representation and color feature
AU - Miyano, Ruiko
AU - Uematsu, Yuko
AU - Saito, Hideo
PY - 2012/6/15
Y1 - 2012/6/15
N2 - Food image processing has recently attracted attention, because many people take photos of food. For food image processing, recognition of captured food is an essential technology, but region detection of the food area from captured photos is also very important procedure for food recognition. In this paper, we propose a novel method for automatic region detection of food from photos using two kinds of features in input image. To detect food regions, we use a method which is widely used in generic object recognition. We divide an image into small subregions and represent each subregion as Bag-of-Features representation using local feature descriptors and color feature. Using two features, we recognize food subregions and finally connect them as food regions. Our experiments show that the proposed method can detect food region in high accuracy.
AB - Food image processing has recently attracted attention, because many people take photos of food. For food image processing, recognition of captured food is an essential technology, but region detection of the food area from captured photos is also very important procedure for food recognition. In this paper, we propose a novel method for automatic region detection of food from photos using two kinds of features in input image. To detect food regions, we use a method which is widely used in generic object recognition. We divide an image into small subregions and represent each subregion as Bag-of-Features representation using local feature descriptors and color feature. Using two features, we recognize food subregions and finally connect them as food regions. Our experiments show that the proposed method can detect food region in high accuracy.
KW - Bag-of-Features
KW - Color feature
KW - Food region detection
KW - SURF
KW - Support vector machine
KW - Visual words
UR - http://www.scopus.com/inward/record.url?scp=84862123646&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862123646&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862123646
SN - 9789898565037
T3 - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 709
EP - 713
BT - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - International Conference on Computer Vision Theory and Applications, VISAPP 2012
Y2 - 24 February 2012 through 26 February 2012
ER -