document: Estimation of trifocal tensor using GMM A novel estimation of a trifocal tensor based on the Gaussian mixture model -LRB- GMM -RRB- is presented . The mixture model is built assuming that the residuals of inliers and outliers belong to different Gaussian distributions . The Bayesian rule is then employed to detect the inliers for re-estimation . Experiments show that the presented method is more precise and relatively unaffected by outliers
doc_bio_tags: O O O O O B O O O O O O O O O O B I I O B O O O O O O O O O O O O O O B O B O O O B I O O B I O O O O O O B O O O O O O O O O O O O O O O O B
extractive_keyphrases: gmm gaussian mixture model gaussian distributions bayesian rule inliers outliers
abstractive_keyphrases: trifocal tensor estimation motion analysis image data image analysis