Sentence examples for visual recognition system from inspiring English sources

For an effective and efficient visual recognition system, the region-of-interest extraction of users is one of most important image processing duties.

We describe a visual recognition system operating on a hand-held device, based on a video-based feature descriptor, and characterize its invariance and discriminative properties.

The goal is to offer easy-to-use image recognition apps for large suppliers and they're attempting to move warehouse logistics away from the "text/label" style of retrieval into a more interesting visual recognition system.

Antonio Criminsi of the Machine Learning and Perception group - the team which in effect invented the visual recognition system of Kinect - demonstrated how Kinect's underlying technology can be adapted for medical diagnosis.

Our system, called the NVRS (Neuromorphic Visual Recognition System), processes images and videos to first detect and localize objects and then classify them into one of several pre-defined object classes.

The findings of both studies are consistent with a "good genes" explanation of the attractiveness symmetry relationship and problematic for the claim that symmetry is attractive as a by-product of the ease with which the visual recognition system processes symmetric stimuli.

Others are more upbeat, including Yann Le Cun, a neuroscience professor at M.I.T. who specializes in visual recognition systems for handwriting and robots.

More recent visual recognition systems for sign language [30, 31] incorporate geometric and optical flow features and fully exploit the grammars for the respective sign languages being modelled.

"There's a plan for speed restrictions to be beamed to your car's computer systems and controlled from there, rather than requiring street sign visual recognition systems," said Paul Newton, an automotive industry analyst at the IHS consultancy.

For example, 3D modeling methods have striven to handle large datasets [3 6], as well as improving model robustness and completeness [7]; modern visual recognition systems can build rich feature hierarchies from large annotated image datasets [8] and perform complicated recognition tasks like image classification [9], object detection [10], and semantic segmentation [11].

This has been a matter of dispute ever since: is there a system dedicated only to face recognition, or is face recognition simply one function of a more general visual-recognition system?