A novel depth-layer based patient motion compensation approach for 2D/3D overlay applications is introduced. Depth-aware tracking enables automatic detection and correction of patient motion without the iterative computation of digitally reconstructed radiographs (DRR) frame by frame. Depth layer images are computed to match and reconstruct 2D features into 2D+ space. Using standard 2D tracking...

To better understand the impact of this objective, the Cognizant Enterprise Analytics Practice recently held in-depth, one-on-one conversations with compensation directors at 20 leading pharmaceuticals firms ranging in size from small to large. Some participants were clients; others were not. While exchanging ideas and discussing key issues, they spoke candidly about the changes their industry ...

The field of mobile robotics has seen significant growth regarding the use indoor laser mapping technology, but most two-dimensional Light Detection and Ranging (2D LiDAR) can only scan a plane fixed height, it is difficult to obtain information objects below so inaccurate environmental navigation mis-collision problems easily occur. Although three-dimensional (3D) LiDAR also gradually applied,...

In this paper, we propose a robust motion estimation algorithm using uncalibrated 3D motion model considering depth discontinuity. Most of the previous direct motion estimation algorithms with 3D motion model compute the depth value through the local smoothing, which result in erroneous results at depth discontinuity. In this paper, we overcome this problem at depth discontinuity by adding disc...

Moving object detection based on color information is easily affected by illumination changes and shadows in complex scenes. Depth information can provide complementary information. In the paper, a novel method is presented by using color and depth information. Firstly, we improve the codebook algorithm by fusing the depth information as the fourth channel in the code word. Next, a compensation...

In this paper, we propose a new refinement filter for depth maps. The filter convolutes a depth map by a jointly computed kernel on a natural image with a weight map. We call the filter weighted joint bilateral filter. The filter fits an outline of an object in the depth map to the outline of the object in the natural image, and it reduces noises. An additional filter of slope depth compensatio...

Recently, the "Compensation Comparison" method was introduced for measuring retinal straylight. In this article, basic aspects are described, in particular a generalization of the approach using the concept of "precompensation," and including flicker threshold as parameter in the psychophysical model. The model was experimentally verified in lab measurements with and without artificially increa...