Boosting with stereo features for building facade detection on mobile platforms

Jeffrey A. Delmerico, Jason J. Corso, Philip David
2010 2010 Western New York Image Processing Workshop  
Boosting has been widely used for discriminative modeling of objects in images. Conventionally, pixel-and patchbased features have been used, but recently, features defined on multilevel aggregate regions were incorporated into the boosting framework, and demonstrated significant improvement in object labeling tasks. In this paper, we further extend the boosting on multilevel aggregates method to incorporate features based on stereo images. Our underlying application is building facade
more » ... on mobile stereo vision platforms. Example features we propose exploit the algebraic constraints of the planar building facades and depth gradient statistics. We've implemented the features and tested the framework on real stereo data.
doi:10.1109/wnyipw.2010.5649753 fatcat:7jisdexcrjd73jets7zhqd2ole