Ads
related to: computer vision algorithms and applications 2nd ed- Explore Amazon Smart Home
Shop for smart home devices that
work with Alexa. See our guide too.
- Amazon Music Unlimited
Play any song, offline & ad-free.
Hands-free listening w/ Alexa.
- Amazon Wedding Registry
Create a registry, enjoy discounts,
find gifts ideas & more. Learn more
- Sign up for Prime
Fast free delivery, streaming
video, music, photo storage & more.
- Explore Amazon Smart Home
Search results
Results from the WOW.Com Content Network
Algorithms for Image Processing and Computer Vision (2nd ed.). Wiley. ISBN 978-0470643853. Richard J. Radke (2013). Computer Vision for Visual Effects. Cambridge University Press. ISBN 978-0-521-76687-6. Nixon, Mark; Aguado, Alberto (2019). Feature Extraction and Image Processing for Computer Vision (4th ed.). Academic Press.
The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. [1] [2] It was motivated primarily by the problem of face detection, although it can be adapted to the detection of other object classes.
The second context in which chessboards arise in computer vision is to demonstrate several canonical feature extraction algorithms. In feature extraction, one seeks to identify image interest points, which summarize the semantic content of an image and, hence, offer a reduced dimensionality representation of one's data. [2]
Computer Vision. Prentice Hall. ISBN 0-13-030796-3. Gang Xu and Zhengyou Zhang (1996). Epipolar geometry in Stereo, Motion and Object Recognition. Kluwer Academic Publishers. ISBN 0-7923-4199-6. Szeliski, Richard (2022). Computer Vision: Algorithms and Applications (2 ed.). Springer Nature. p. 925. ISBN 3030343723
Second, we find a projective ... Computer Vision: Algorithms and Applications, Section 11.1.1 "Rectification" by Richard Szeliski (September 3, 2010 ...
Computer Vision, a modern approach. Prentice Hall. ISBN 978-0-13-085198-7. Richard Hartley and Andrew Zisserman (2003). Multiple View Geometry in Computer Vision (2nd ed.). Cambridge University Press. Strutz, T. (2016). Data Fitting and Uncertainty (A practical introduction to weighted least squares and beyond). 2nd edition, Springer Vieweg.
International Workshop on Vision Algorithms (1999 : Corfu, Greece) Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, 21–22 September 1999 : proceedings. With Bill Triggs and Richard Szeliski (eds.). 2000. Multiple view geometry in computer vision. With Richard Hartley. Second edition 2009. [11]
Although his work was done in the early days of computer vision, the Canny edge detector (including its variations) is still a state-of-the-art edge detector. [11] Edge detectors that perform better than the Canny usually require longer computation times or a greater number of parameters.
Ads
related to: computer vision algorithms and applications 2nd ed