The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework bas...
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic articulated human m...