We propose a biologically motivated computational step, called non-classical receptive field (non-CRF) inhibition, to improve contour detection in images of natural scenes. We aug...
Cosmin Grigorescu, Nicolai Petkov, Michel A. Weste...
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...