In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks which couple both pose est...
Romeil Sandhu, Samuel Dambreville, Anthony J. Yezz...
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
This paper presents a new pq-space based 2D/3D registration method for camera pose estimation in endoscope tracking. The proposed technique involves the extraction of surface norma...
Fani Deligianni, Adrian James Chung, Guang-Zhong Y...
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...