Sentence examples for orientation of edges from inspiring English sources

The visual cortex is sensitive to the position and orientation of edges, the direction and speed of movement of objects in the visual field, and stereoscopic depth, brightness, and colour; these aspects combine to produce visual perception.

The researchers analysed activity in brain areas V1, V2 and V3, which are involved in the earliest stages of visual processing and encode basic features of visual scenes, such as contrast and the orientation of edges.

The earliest stages of visual processing take place in the primary and secondary visual cortical areas, often referred to simply as V1 and V2, which contain cells that respond to the simplest features of a scene, such as contrast between adjacent areas of the visual scene and the orientation of edges.

Exactly how this might happen is still not clear; there is, however some evidence that such top-down mechanisms can directly influence activity in the primary visual cortex, which contains neurons that respond to the most basic features of visual scenes, such as contrast and the orientation of edges.

If a neuron encodes features of stimuli in the external world, such as the orientation of edges in the visual scene, then such fluctuations are a major computational problem.

The majority (91.5% of islands shown in Figure 1 c) of single-crystal domains are well aligned with the relative orientation of edges that can be expressed as multiples of 60°.

The prominent features used in quality assessment are orientation of edge features.

In the edge extraction step, we use the vanishing point to guide the orientation of edge pixels, thereby enhancing LDWS performance under heavy shadows.

Based on the literature review and experimental analysis, here, we collate the important observations pertaining to biometric quality assessment:  The prominent features used in quality assessment are orientation of edge features.

We study potential obstructions to extending a given set of orientations of edges in a mixed graph that contains both unoriented and oriented edges towards a DCDC.

Then, 3D orientations of edge lines are estimated by a factor graph inference.