CIARP
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. The aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face...
SCFBM
2008
13 years 9 months ago
2008
Background: Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated experimentin...
SCFBM
2008
13 years 9 months ago
2008
Background: Ultrasound scanning uses the medical imaging format, DICOM, for electronically storing the images and data associated with a particular scan. Large health care facilit...
PVLDB
2008
13 years 9 months ago
2008
The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as informatio...
RAS
2007
13 years 9 months ago
2007
In this paper we start from a set of images obtained by the robot that is moving around in an environment. We present a method to automatically group the images into groups that c...
PRL
2007
13 years 9 months ago
2007
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
PRESENCE
2007
13 years 9 months ago
2007
Pursuing new display techniques based on insights into human visual perception can reveal new possibilities for visual information devices. Here, we propose a novel information pr...
PR
2007
13 years 9 months ago
2007
We previously presented an image registration method, referred to hierarchical attribute matching mechanism for elastic registration (HAMMER), which demonstrated relatively high a...
PR
2007
13 years 9 months ago
2007
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
PAMI
2007
13 years 9 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...