A groundtruth basedvanishing point d etection algorithm

A Bayesian probability-basedvanishing point d etection algorithm is presentedwhich introd uces the use of multiple features andtraining with groundtruth data to determine vanishing point locations. The vanishing points of 352 images were manually id enti-edto create groundtruth d ata. Each intersection is assigneda probability of being coincid ent with a groundtruth vanishing point, basedupon cond itional probabilities of a number of features. The results of this algorithm are demonstrated to be superior to the results of a similar algorithm where each intersection is considered to be of equal importance. The advantage of this algorithm is that multiple features derived from ground truth training are usedto d etermine vanishing point location. ? 2002 Pattern Recognition Society. Publishedby Elsevier Science Ltd . All rights reserved.

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