Ioannis Pitas

TL;DR: This paper presents a new approach for the segmentation of color textured images, which is based on a novel energy function, derived by exploiting an intermediate step of modal analysis that is utilized in order to describe and analyze the deformations of a 3-D deformable surface model.

TL;DR: A visual object tracking framework, which employs an appearance-based representation of the target object, based on local steering kernel descriptors and color histogram information, which is proven to be successful in tracking objects under scale and rotation variations and partial occlusion, as well as in tracking rather slowly deformable articulated objects.

TL;DR: A novel method for eye and mouth detection and eye center and mouth corner localization, based on geometrical information, which has been tested on the XM2VTS and BioID databases, with very good results.

TL;DR: A robust pothole detection algorithm that is both accurate and computationally efficient and integrates the surface normal into the surface modeling process to improve disparity map modeling robustness.

TL;DR: It is demonstrated that trained SVMs with a radial basis function kernel segment satisfactorily (unseen) ultrasound B-mode images as well as clinical ultrasonic images.