3D effect generation from monocular view

Real metrology by using depth map information

“…This class of operators depends on the camera parameter settings. In this way a gray level depth map is generated 11 as shown in Figure 2 (pixel level 0 corresponds to a closest object, level 255 to a farthest away one). …”

“…Our work is a novel technique to recover real depth information by the depth map of a real scene. The depth map is a gray-level image representing the depth of each object inside the source image 11 . In particular, the depth map is obtained by Watanabe-Nayar method 9 .…”

Stereoscopic 3D from 2D video with super-resolution capability

“…Many fundamental algorithms have been developed to reconstruct 3D scenes from monocular video sequences [1,[4][5][6]9,10,[17][18][19][20][21][22]26,29,30,[36][37][38][41][42][43]45,49]. These algorithms can roughly be divided into two categories: methods that tend to create a complete 3D model of the captured scene [1,17,20,30,36,[41][42][43]45] and methods that just render stereoscopic views [4][5][6]9,10,18,19,21,22,26,29,37,38,49].…”

“…These algorithms can roughly be divided into two categories: methods that tend to create a complete 3D model of the captured scene [1,17,20,30,36,[41][42][43]45] and methods that just render stereoscopic views [4][5][6]9,10,18,19,21,22,26,29,37,38,49].…”

“…For the second category, depth-image-based rendering (DIBR) [4][5][6]10,18,29,49] seems to be the most promising technique both for stereoscopic view synthesis and for transmission in 3D-TV broadcast systems [7,31]. DIBR approaches render new virtual views via dense depth maps for each frame of the sequence by shifting image pixels according to their assigned depth.…”