Search results
Results from the WOW.Com Content Network
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes and scales or even when they are translated or rotated.
Shape Recognition Technology (SRT) in people counter systems differentiating human beings (head and shoulder patterns) from objects. Human activity recognition - deals with recognizing the activity from a series of video frames, such as, if the person is picking up an object or walking.
In computer vision, 3D object recognition involves recognizing and determining 3D information, such as the pose, volume, or shape, of user-chosen 3D objects in a photograph or range scan. Typically, an example of the object to be recognized is presented to a vision system in a controlled environment, and then for an arbitrary input such as a ...
OMRON Releases Hand Gesture Recognition Software with Improved Hand Shape Recognition Accuracy KYOTO, Japan--(BUSINESS WIRE)-- OMRON Corporation (TOKYO:6645)(ADR:OMRNY) today launched "Hand ...
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]
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.
CAM software and design for manufacturing software are also built using this feature recognition technology. Few CAD/CAM software have used commercially available third-party feature recognition library, which recognizes various features from 3-D B-Rep models. Separate libraries are available for Design, Manufacturing and Sheet metal applications.
To generalize the Hough algorithm to non-analytic curves, Ballard defines the following parameters for a generalized shape: a={y,s,θ} where y is a reference origin for the shape, θ is its orientation, and s = (s x, s y) describes two orthogonal scale factors. An algorithm can compute the best set of parameters for a given shape from edge ...