Warp-based motion compensation for endoscopic kymography

Figure 10.1: Overview of our processing pipeline: (a) multi-view video sequence of a reference performance; (b) performance capture result: skeleton motion + deforming surface;

Figure 4 shows the positions of clusters that contributed in five consecutive frames of the VEM and figure 5 the po- sitions samples generated by importance sampling for the same

Figure 4: Given the initial (left) and final (right) key frames defining the start and end positions of a group of dancers in the plane, SAMBA computes the inter- mediate frames of

Figure 3: Left: process chain from heterogeneous input sources (top) over unordered set of frames and time-axis sorting to 4D frame discretization (bottom), right: time-correlated

Starting from all the frames of the video, we create an initial set of frames by performing an initial extraction that is regular in time, using a fixed frame interval which

2. The resulting motion sequence is acquired by connecting the motion segment sequence using cubic interpolation. 1) Waseda University 2) National Institute of Advanced

First, our system assigns motions from motion database to other parts considering connectivity of motion segments and acquires the best matched motion segment sequence.. The rhythm

Raw RGB-D data (top) and Proxy Clouds-improved data after 100 frames (bottom) showing results of real time noise removal, hole filling, point cloud resampling and meshing..