Sentence examples for illumination viewpoint from inspiring English sources

From an illumination viewpoint, a more uniform illumination can be achieved using an increased number of transmitters.

The results, shown in Figures 6 and 9, indicate the robustness of the method to dynamic changes of illumination, viewpoint, camera resolution, and scale in the image, which are typical for unordered construction photo collections.

Human image-pair captured in two different cameras often varies greatly in appearance due to changes in illumination, viewpoint as well as intra-class variability in shape and pose.

SIFT features are invariant to scaling and rotation and partially invariant to illumination change, viewpoint change, and noise.

Conventionally, sensor-based vision localization systems have three inherent limitations, These include, sensitivity to illumination variations, viewpoint variations, and high computational complexity.

Experimental results show that the proposed localization system is four times faster than existing systems, and exhibits better matching performance compared to existing algorithms in challenging environments with difficult illumination and viewpoint conditions.

To overcome these problems, we propose a robust image matching method to provide invariance to the illumination and viewpoint variations by focusing on how to solve these limitations and incorporate this scheme into the vision-based localization system.

Specifically, in order to solve the problem of illumination and viewpoint, we extract a key point using a virtual view from a query image and the descriptor based on the local average patch difference, similar to HC-LBP.

When executing cross-view human matching, the humans' appearance normally changes significantly due to the changes in illumination and viewpoint, therefore the use of a single feature to identify cross-view human objects is not enough.

However, in the video object tracking, human tracking is the most challenging since human may vary greatly in appearance on account of changes in illumination and viewpoint, background clutter, occlusion, non-rigid deformations, intra-class variability in shape and pose.

To improve detection, a ZebraSquare illumination device (ViewPoint, Lyon, France) was used.