Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Baris Sumengen"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 30:1400-1414
Variational cost functions that are based on pairwise similarity between pixels can be minimized within level set framework resulting in a binary image segmentation. In this paper we extend such cost functions and address multi-region image segmentat
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 19(2)
We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a feature that helps in a better segmentation of objects with concavities. A mul
Autor:
Roelof van Zwol, Johan Oomen, Jan Erik Solem, Jean-Pierre Gehrig, Hans van Gageldonk, Xavier Vives, Sébastien Marcel, Baris Sumengen, Oliver Heckmann, Ricardo Baeza-Yates
Publikováno v:
CIVR
It has become a tradition that the final day of the International Conference on Image and Video Retrieval is a practitioners day where the researchers are joined by practitioners and will meet peers from multimedia industry. Multimedia search systems
Publikováno v:
FG
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to suggest the hypotheses of the face, hair, and background regions. In turn,
Publikováno v:
SPIE Proceedings.
Nowadays there are many product comparison web sites. But most of them only use text information. This paper introduces a novel visual search engine for product images, which provides a brand-new way of visually locating products through Content-base
Publikováno v:
CVPR
We present an efficient probabilistic method for identity recognition in personal photo albums. Personal photos are usually taken under uncontrolled conditions -the captured faces exhibit significant variations in pose, expression and illumination th
Publikováno v:
ICIP
We propose an algorithm to generate one multi-focus image from a set of images acquired at different focus settings. First images are registered to avoid large misalignments. Each image is tiled with overlapping neighborhoods. Then, for each region t
Publikováno v:
ICIP
In this paper, we analyze the redundancy in calculating all pairs of geodesic distances on a rectangular grid. Fast marching method is an efficient way to estimate the geodesic distances from a point. But when calculated for all the points on the gri
Autor:
Jiyun, Byun, Mark R, Verardo, Baris, Sumengen, Geoffrey P, Lewis, B S, Manjunath, Steven K, Fisher
Publikováno v:
Molecular vision. 12
To develop an automated tool that provides reliable, consistent, and accurate results for counting cell nuclei in tissue sections.We propose a novel method based on an image processing algorithm to analyze large sets of digital micrographs. The nucle
Publikováno v:
CVPR Workshops
We introduce the use of geodesic distances and geodesic radius for calculating pairwise similarities needed in various graph cuts based methods. By using geodesics on an edge strength function we are able to calculate similarities between pixels in a