Efficient exploration of region hierarchies for semantic segmentation
Míriam Bellver Bueno · 2015
The problem of object detection has been largely studied in the literature, with many solutions based on sliding windows and interest point analysis. On the other hand, the state of the art on image segmentation has recently achieved important advances, providing more stable solutions that may be applied in the object detection problem. This thesis proposal initially focuses on the expansion of the popular deformable parts model for object detection to an image representation based on a hierarchical partition. Such structure can boost the feature extraction with a max-po