An Introduction to Object Recognition by Marco Alexander Treiber

An Introduction to Object Recognition by Marco Alexander Treiber

Author:Marco Alexander Treiber
Language: eng
Format: epub
Publisher: Springer London, London


2. Edge point grouping: derivation of line segments which approximate the edge points best (see also the previous chapter for a brief introduction).

3. Perceptual grouping of the found line segments considering all three kinds of grouping. In this step, a group of line segments is built if at least two lines share the same type of common attribute (collinearity, parallelism or proximal end points).

4. Matching of the found line groups to model features taking the viewpoint consistency constraint into account. The viewpoint consistency constraint states that a correct match is only found if the positions of all lines of one group of the model can be fit to the positions of the scene image lines with a single common projection based on a single viewpoint. In other words, the positions of the lines have to be consistent with respect to the transformation parameters.



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