Sentence examples for brightness pattern from inspiring English sources

Because of the above undesired effects the stereo matching process is significantly affected, as many correspondence algorithms are very sensitive to these deviations in the brightness pattern, resulting in an inaccurate terrain reconstruction.

"Precise timings of the brightness pattern will help us align the panels".

It could use this concept to indicate whether two completely unfamiliar visual stimuli were the same or different, irrespective of the dimension in which they differed (shape, brightness, pattern) (Scholtyssek et al. 2013).

Optical flow (OF) is a vector field representing 'the distribution of apparent velocities of movement of brightness patterns in an image' [13].

For the sake of convenience, most optical flow techniques consider a particularly simple world where the apparent velocity of brightness patterns can be directly identified with the movement of surfaces in the scene.

Optical flow is defined as the vector field capturing the motion of brightness patterns between adjacent volumes in time (Horn and Schunck, 1981; since our examples are 3D images, we use the term 'volume' to refer to the datasets used in optical flow computation. However, our approach and code work also for 2D images).

That study demonstrated that the seal could use this concept to judge whether completely unfamiliar stimuli were same or different irrespective of the dimension in which they differed (shape, brightness, or pattern).

This may have been because the background and prey were comprised of discrete blotches, rather than of more continuous patches of color, brightness and pattern, under which circumstances clear survival advantages of disruptive prey have been shown previously [ 4, 5, 7, 8]).

That brightness is determined by the statistics of natural light patterns implies that the relevant neural circuitry is specifically organized to generate these probabilistic responses.

The light patterns will even change their density, texture and brightness based on these factors, while displaying alongside "skeletal" music and the sounds of water rippling.

To do this, the algorithm analyzes each picture using criteria such as its contrast, brightness, color patterns, the arrangement of features within the image, and so on.