Computer vision unsw

  • Does UNSW have Computer Science?

    UNSW's School of Computer Science and Engineering research is ranked 1st in Australia for Algorithms, Artificial Intelligence, Databases, Embedded & Real-Time Systems and Operating Systems by CS Rankings..

  • How is UNSW for computer science?

    The UNSW School of Computer Science and Engineering (CSE) is part of the UNSW Faculty of Engineering and was founded in 1991 out of the former Department of Computer Science within the School of Electrical Engineering and Computer Science.
    It is the highest ranked and largest School of its kind in Australia..

  • What is the vision of the UNSW?

    UNSW Canberra aims to deliver UNSW's strategic vision: to improve lives globally, through innovative research, transformative education and commitment to a just society..

Does UNSW have an academic integrity policy?

UNSW has an ongoing commitment to fostering a culture of learning informed by academic integrity.
All UNSW staff and students have a responsibility to adhere to this principle of academic integrity.

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What does the computer vision group do?

Developing advanced computational methods for automated image analysis and downstream data analytics, The Computer Vision Group employs methods that are based on solid mathematical and statistical modelling, as well as data-driven artificial intelligence using machine and deep learning.

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What is computer vision in engineering?

Computer vision is the interdisciplinary scientific field that develops theories and methods allowing computers to extract high-level information from digital images or videos.
From an engineering perspective it seeks to automate perceptual tasks normally performed by the human visual system.

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Why is computer vision difficult?

Computer vision develops mathematical techniques for recovering three-dimensional shape and appearance of objects in images (Szeliski, 2010).
Vision is difficult because it is an inverse problem, where only insufficient information is available when trying to recover some unknowns.


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