title: Stochastic view registration of overlapping cameras based on arbitrary motion.
abstract: A new motion-based method is presented for automatic registration of images in multicamera systems, to permit synthesis of wide-baseline composite views. Unlike existing static-image and motion-based methods, our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. We introduce an entropy-based preselection of motion histories and an iterative Bayesian assignment of corresponding image areas. Finally, correlated point-histories and data-set optimization lead to the matching of the different views. The method is validated by demonstrating its successful use on several real-life indoor and outdoor stereo video image-sequence pairs.
authors.affiliation: Computer and Automation Research Institute of Hungarian Academy of Sciences, Budapest, Hungary. szlavik@sztaki.hu
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Szlávik
authors.forename: Tamás
authors.initials: T
authors.lastname: Szirányi
authors.forename: László
authors.initials: L
authors.lastname: Havasi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D010780:Photogrammetry / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes; D013382:Subtraction Technique