We summarize the various strands of research on peripheral vision and relate them to
theories of form perception. After a historical overview, we describe quantifications of the …

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 …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

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 …

Robust spatiotemporal representations of natural videos have several applications including
quality assessment, action recognition, object tracking etc. In this paper, we propose a video …

We propose a computational step, called surround suppression, to improve detection of
object contours and region boundaries in natural scenes. This step is inspired by the …

This review focuses on low and intermediate stages of contour shape processing. It is split
into two main sections,'Contour Detection'and 'Shape Discrimination and Representation' …

Background: Keypoint detection is important for many computer vision applications. Existing
methods suffer from insufficient selectivity regarding the shape properties of features and are …

Brightness and color are two basic visual features integrated by the human visual system
(HVS) to gain a better understanding of color natural scenes. Aiming to combine these two …