Sentence examples for scene property from inspiring English sources

One example of a natural scene property is the greater prevalence of strong image gradients along the cardinal (horizontal and vertical) orientations, in images projected from both indoor and outdoor scenes.

Similarly to [ 13], the work of [ 24] uses global scene properties to infer positions and sizes of objects; however in contrast to [ 13], this is an unidirectional process where the position of objects cannot influence scene property estimation.

The global scene properties are extracted from edge information in 2D depictions of the scene.

Raskar, R. & Davis, J. 5d time-light transport matrix: what can we reason about scene properties?

Taken together, these findings reveal that OPA analyzes local scene elements - both in spatial boundary and scene content representation - while PPA and RSC represent global scene properties.

We then discuss the implications of these bounds for several real-world scenarios (illumination conditions, scene properties and sensor noise characteristics).

Then, we use these models to develop methods for recovering pertinent scene properties, such as three-dimensional structure, from one or two images taken under poor weather conditions.

Recovering scene properties (e.g., scene depths) from the received radiance requires separating these contributions, which is challenging due to the complexity of global illumination and the additional temporal dimension of the radiance.

The scenarios are defined in terms of the application (e.g., motion deblurring, defocus deblurring), real-world lighting (e.g., moonlit night or cloudy day, indoor or outdoor), scene properties (albedo, object velocities, depth range) and sensor characteristics.

This dissertation examines two aspects of this problem: models of visual appearance that allow us to recover scene properties from images and videos, and tools that allow users to manipulate visual appearance in images and videos in intuitive ways.

We are developing the theoretical foundation for sensing and reasoning using transient light transport, and experimenting with scenarios in which transient reasoning exposes scene properties that are beyond the reach of traditional machine vision.