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Recently, researchers have made great processes to build category-specific 3D shape models from 2D images with manual annotations consisting of class labels, keypoints, and ground truth figure-ground segmentations. However, the annotation of figure-ground segmentations is still labor-intensive and time-consuming. To further alleviate the burden of providing such manual annotations, we make the earliest...
Biplane X-ray angiography is currently the gold standard for navigational guidance during percutaneous interventions in vascular structures; but it remains limited to 2D projections. In this study, we propose a novel graph-based voxel coloring method for 3D reconstruction of vascular structures from biplane X-ray angiography sequences. The reconstruction is obtained by using the random walks algorithm...
In this paper, we address the problem of Multi-View Stereo (MVS) reconstruction of highly regular man-made scenes from calibrated, wide-baseline views and a sparse Structure-from-Motion (SfM) point cloud. We introduce a novel patch-based formulation via energy minimization which combines top-down segmentation hypotheses using appearance and vanishing line detections, as well as an arrangement of creased...
A reconstruction method is provided to improve the measurement of the binocular vision. The image projections of the 3-D point on the 3-D reference are analyzed by the multiple view geometry. The Plücker coordinates of the two screw projection lines are constructed by the image points. The line segment perpendicular to two projection lines is generated from the direction vector and the end points...
It is well known that sport skill learning is facilitated by video observation of players' actions in the target sport. A viewpoint change function is desirable when a learner observes the actions using video images. However, in general, viewpoint changes for observation are not possible because most videos are filmed from a fixed point using a single video camera. The objective of this research is...
We present a method for collaborative augmented reality (AR) that enables users from different viewpoints to interpret object references specified via 2D on-screen circling gestures. Based on a user's 2D drawing annotation, the method segments out the userselected object using an incomplete or imperfect scene model and the color image from the drawing viewpoint. Specifically, we propose a novel segmentation...
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