We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Interest point detection has a wide range of applications, such as image retrieval and object recognition. Given an image, many previous interest point detectors first assign inte...
There is one method, called the Block Gradient Method here, whereby to detect image movements from an image sequence. This method has an advantage over the computing costs in a mo...
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...
This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is ...