Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Salih Burak Gokturk"'
Autor:
Sandy Napel, R. Brooke Jeffrey, Christopher F. Beaulieu, Terry S. Desser, Michel Bilello, Salih Burak Gokturk
Publikováno v:
Medical Physics. 31:2584-2593
The objective of this work was to develop and validate algorithms for detection and classification of hypodense hepatic lesions, specifically cysts, hemangiomas, and metastases from CT scans in the portal venous phase of enhancement. Fifty-six CT sec
Publikováno v:
CVPR Workshops
In this work we tackle the problem of search personalization for on-line soft goods shopping. By learning what the user likes and what the user does not like, better search rankings and therefore a better overall shopping experience can be obtained.
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:
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:
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
CT or MRI medical imaging produce human body pictures in digital form. Since these imaging techniques produce prohibitive amounts of data, compression is necessary for storage and communication purposes. Many current compression schemes provide a ver
Autor:
Carlo Tomasi, Salih Burak Gokturk
Publikováno v:
CVPR (1)
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3D image data need to be constructed and subsequently used by a classification method. We present a computer aided diagnosis system for early diagno
Publikováno v:
CVPR Workshops
This paper describes a CMOS-based time-of-flight depth sensor and presents some experimental data while addressing various issues arising from its use. Our system is a single-chip solution based on a special CMOS pixel structure that can extract phas
Publikováno v:
2004 Conference on Computer Vision and Pattern Recognition Workshop.
The past few years have seen improvements in the frame rate, accuracy, cost, and size of 3D sensors, including systems based on stereo vision, time-of-flight, structured light, and depth-from-X methods. These exciting developments have sparked increa
Autor:
Salih Burak Gokturk, Carlo Tomasi
Publikováno v:
CVPR (2)
This paper describes a head-tracking algorithm that is based on recognition and correlation-based weighted interpolation. The input is a sequence of 3D depth images generated by a novel time-of-flight depth sensor. These are processed to segment the
Publikováno v:
FGR
Facial expression recognition is necessary for designing any realistic human-machine interfaces. Previous published facial expression recognition systems achieve good recognition rates, but most of them perform well only when the user faces the camer