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depth extraction
Depth extraction using a single moving camera: an integration of depth from motion and depth from stereo
      
An investigation was carried out to determine whether depth extraction is more complex for relative distances than for object positions and therefore demands a longer processing time.
      
Application domains range from tracking over 3D depth extraction to perspective correct projection onto arbitrary changing geometry.
      
Data processing utilizes a state-of-the-art depth extraction algorithm developed by the NOAA National Ocean Service.
      
In our prototype system, we use the depth extraction capabilities to frequently update the geometry of the projection surface.
      
Stereo Depth Extraction is parallelized by dividing input frames into 32x32 blocks and statically assigning them to processors.
      
Stereo depth extraction calculates the disparity between objects in a left and right grayscale camera image pair.
      
Third, the backlash in the movements of two cameras should be also minimized in order to enhance accuracy in the depth extraction.
      
The depth extraction techniques rely on the presence of texture in the image.
      
The reason for their good performance on the benchmark dataset lies in their sophisticated depth extraction procedure incorporating multiple stages.
      
The stereo depth extraction application presented in Figure 1 demonstrates how the Imagine stream architecture functions.
      
WTA is short for winnertakes-all depth extraction and SO indicates scanline optimization.
      
 

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