Sentence examples for analysis of visual data from inspiring English sources

The core contribution of this study is a mathematical model of combination of stereopsis and kineopsis under active viewing, a model to serve as a basis for algorithms implemental of active stereokinematic analysis of visual data.

The automated analysis of visual data in real-life environments for animal and insect behaviour understanding poses several challenges for computer vision researchers because of the uncontrolled scene conditions and the nature of the targets to be analysed whose 3D motion tends to be erratic, with sudden direction and speed variations, and appearance and non-rigid shape can undergo quick changes.

This session extends the techniques to enable the analysis of large batches of visual data.

In this paper, we propose an auto linking mechanism that can smoothly transfer the analyst from one view to the other and thus effectively improve the speed of visual data analysis.

Wang said the Series B funding will be used to expand the kind of work Scale does for existing customers in the area of visual data analysis, as well as to gradually add in other categories of data, such as text.

Thus, we transformed these data prior to completion of visual data analysis.

We are completely sure that developing a variety of visualization approaches and testing them on real data sets is the way of trial and error and the only way to extend our toolbox of visual data analysis.

Emerging visual computing applications require efficient analysis and mining of large repositories of visual data (images, videos, RGBD).

Our efforts will establish a new baseline dataset, optimized to directly accelerate development of modern, intelligent, automated analysis of underwater visual data.

The purpose of this paper is to provide a concise review of (1) the most recent methods that streamline the collection and analysis of the visual data captured from these platforms, and (2) methods that transform and visualize actionable performance information from the collected data, with and without using Building Information Models (BIM) as a priori information.

Visual narrative methodology expanded capacity to interpret tensions between intersecting motives and ideas in data, and provided fresh research perspectives in particular through researchers' shared analysis of the visual data.