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Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.
Google Slides is a presentation program and part of the free, web-based Google Docs suite offered by Google. Google Slides is available as a web application, mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft PowerPoint file formats. [5]
Laptop Mag rated the suite 4 out of 5 stars, referring to it as “the best Office suite yet” because of the new customization options provided by the ribbon, the new multimedia editing capabilities, a new option to share presentations online via PowerPoint, and app response times; Microsoft's decision to include OneNote in all retail ...
This recognition focuses on the result/product of employee work in relation to the corporation's objectives/goals. As an expression of judgment, appreciation and gratitude toward an individual or team, recognition of results is concerned primarily with the effectiveness, benefit and value of the work performed (Brun & Dugas, 2008). [ 13 ]
Background subtraction is any technique which allows an image's foreground to be extracted for further processing (object recognition etc.). Many applications do not need to know everything about the evolution of movement in a video sequence, but only require the information of changes in the scene, because an image's regions of interest are ...
Microsoft 365 is a product family of productivity software, collaboration and cloud-based services owned by Microsoft.It encompasses online services such as Outlook.com, OneDrive, Microsoft Teams, programs formerly marketed under the name Microsoft Office (including applications such as Word, Excel, PowerPoint, and Outlook on Microsoft Windows, macOS, mobile devices, and on the web), and ...
The main challenges in a template matching task are detection of occlusion, when a sought-after object is partly hidden in an image; detection of non-rigid transformations, when an object is distorted or imaged from different angles; sensitivity to illumination and background changes; background clutter; and scale changes. [5]
Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.