Group action recognition is a challenging task in computer vision due to the large complexity induced by multiple motion patterns. This paper aims at analyzing group actions in vid...
This paper presents a method to add fine details, such as wrinkles and bulges, on a virtual face animated by common skinning techniques. Our system is based on a small set of refe...
We have developed a method to rapidly test the quality of a biological image, to identify appropriate segmentation methods that will render high quality segmentations for cells wit...
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
We describe techniques for registering images from sequences of aerial images captured of the same terrain on different days. The techniques are robust to changes in weather, incl...
We propose a novel method for planar hand detection from a single uncalibrated image, with the purpose of estimating the articulated pose of a generic model, roughly adapted to the...
Abstract. In this paper a new video coding by using multiple uncalibrated cameras is proposed. We consider the redundancy between the cameras view points and efficiently compress b...
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
In this paper a systematic approach to the processing and combination of high resolution color images and low resolution time-offlight depth maps is described. The purpose is the ...