We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Ultrasound images provide the clinician with noninvasive, low cost, and real-time images that can help them in diagnosis, plannnig and therapy. However, although the human eye is ...
Karl Krissian, Ron Kikinis, Carl-Fredrik Westin, K...
The objective of this work is the automatic detection and grouping of imaged elements which repeat in a scene. We show that structures that repeat in the world (for example wall p...
Pose variance remains a challenging problem for face recognition. In this paper, a scheme including image synthesis and recognition is proposed to improve the performance of automa...
Congcong Li, Guangda Su, Yan Shang, Yingchun Li, Y...
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...