In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …

Object contour plays an important role in fields such as semantic segmentation and image
classification. However, the extraction of contour is a difficult task, especially when the …

Traditional joint-link robots have been widely used in production lines because of their high
precision for single tasks. With the development of the manufacturing and service industries …

Livestock management involves the monitoring of farm animals by tracking certain
physiological and phenotypical characteristics over time. In the dairy industry, for instance …

Convolutional neural networks (CNNs) lack robustness to test image corruptions that are not
seen during training. In this paper, we propose a new layer for CNNs that increases their …

The popularity and the appeal of systems which are able to automatically determine the
gender from face images are growing rapidly. Such a great interest arises from the wide …

Most object recognition methods rely on contour-defined features obtained by edge
detection or region segmentation. They are not robust to diffuse region boundaries …

Gender recognition from face images is an important application in the fields of security,
retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters …

Contour detection is a salient operation in many computer vision applications as it extracts
features that are important for distinguishing objects in scenes. It is believed to be a primary …