View-independent object detection using shared local features ?
We developed a novel method for detecting view independent objects. We developed an exhaustive greedy selection method for selecting shared features. Shared local classifiers are constructed using random forest across 12 multi-views. Our algorithm showed higher performance using the PASCAL 2012 than other methods.
view-independent object detection shared local feature random forest part model ocs-lbp