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Real Time Applications of 3D Object Detection and Tracking

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Figure

Figure 2.1: (a) Interest point detection is achieved by applying the Dierence of Gaussians (DoG)operator in between adjacent levels of Gaussian blurred images within the same scale
Figure 2.2: The above display shows the quality of feature matching achieved with SIFT featuresand the Best-Bin-First search algorithm
Figure 2.3: Corners are detected by generating a patch at a certain pixel location and calculatinga Sum-of-Squared-Dierence (S S D) between that patch and a set of neighboring patches
Figure 2.7: Shown is a plot of 3D stereo reprojected data using a stereo camera with a baseline of.0 12 m
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