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Thread: Miscellaneous

  1. #1


    Machine Vision Bottle Cap Verification

    Uploaded on Jan 13, 2009

    The Q:Check Cap Verification system inspects flat and sipper caps on beverage bottles for cap presence and height, intact tamper ring, dust cap presence and fill level. The fully automated visual control of the cap area prevents drink contamination and spillage.

  2. #2

    Vicente Ordonez: Language and Perceptual Categorization in Computer Vision

    Published on Mar 14, 2015

    Talk: Vicente Ordonez-Roman
    University of North Carolina at Chapel Hill

    Title: Language and Perceptual Categorization in Computer Vision

    Recently, there has been great progress in both computer vision and natural language processing in representing and recognizing semantic units like objects, attributes, named entities, or constituents. These advances provide opportunities to create systems able to interpret and describe the visual world using natural language. This is in contrast to traditional computer vision systems, which typically output a set of disconnected labels, object locations, or annotations for every pixel in an image. The rich visually descriptive language produced by people incorporates world knowledge and human intuition that often can not be captured by other types of annotations. In this talk, I will present several approaches that explore the connections between language, perception, and vision at three levels: learning how to name objects, generating referring expressions for objects in natural scenes, and producing general image descriptions. These methods provide a framework to augment computer vision systems with linguistic information and to take advantage of the vast amount of text associated with images on the web. I will also discuss some of the intuitions from linguistics and perception behind these efforts and how they potentially connect to the larger goal of creating visual systems that can better learn from and communicate with people.

  3. #3
    Article "Predicting Daily Activities From Egocentric Images Using
    Deep Learning

    by Daniel Castro, Steven Hickson, Vinay Bettadapura, Edison Thomaz
    Gregory Abowd, Henrik Christensen, Irfan Essa
    September 7-11, 2015

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    Microsoft Selfie app updated with social sharing

    Published on Jan 25, 2016

    The popular Microsoft Selfie app has been updated with social sharing to Facebook, Twitter, WeChat as well as native apps for iOS users. The app uses computer vision and machine learning to enhance the images you take, removing noise and auto-correcting for poor lighting.

  6. #6
    Article "Next Big Test for AI: Making Sense of the World"
    A new database will gauge progress in artificial intelligence, as computers try to grasp what’s going on in scenes shown in photographs.

    by Will Knight
    January 26, 2016

  7. #7
    Article "How machine vision systems and robots have influenced each other"
    Is machine vision changing robots, or are robots changing machine vision?

    by Mike Bacidore
    April 11, 2016

  8. #8
    Article "Teaching machines to predict the future"
    Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.

    by Adam Conner-Simons, Rachel Gordon
    June 21, 2016

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