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HOUGH AC ION FALL BGBFBABmiFGFJBBGiGEiG
Presentation on theme: " HOUGH AC ION FALL BGBFBABmiFGFJBBGiGEiG"— Presentation transcript:
HOUGH AC ION FALL BGBFBABmiFGFJBBGiGEiG - Description
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LAQUESHA JONES. ELA 5. TH. /6. TH. MAY 8, 2015. HOUGH. The Neighborhood. HOUGH RIOTS. *Where & When*. The Hough Riots were race riots that took place in the predominately African-American area of Hough (huff) in Cleveland..
Computational Aspect of Robotics. Many slides . from James Hays, Kristen Grauman, . Derek Hoiem, Lana Lazebnik, Steve Seitz, David Forsyth, David Lowe, Fei-Fei Li. Example: Line fitting. Why fit lines? .
Voting schemes. Let each feature vote for all the models that are compatible with it. Hopefully the noise features will not vote consistently for any single model. Missing data doesn’t matter as long as there are enough features remaining to agree on a good model.
: . Voting and the Hough Transform. Monday, Feb . 14. Prof. Kristen . Grauman. UT-Austin. Last time: Grouping. Bottom-up segmentation via clustering. To . find mid-level regions, tokens. General choices -- features, affinity functions, and clustering algorithms.
. Your. . Attitude. Staying Positive. Even in a Negative Environment. WYTRANS Conference . July 16, 2011. Do you recognize any of these characters?. Know-it-All. Griper. Drama Queen. Steamer. Perfectionist.
With thanks to: Harry . Chien. , Lisa Chan, . Bassem. El-Dasher, Gregory Rohrer. 1. Last revised:. 12. th. Apr. ‘14. 27-750. Texture, Microstructure & Anisotropy. A.D. Rollett. Overview. Understanding the diffraction patterns.
: . Voting and the Hough Transform. Tues Feb 14. Kristen Grauman. UT Austin. Today. Grouping : wrap up clustering . algorithms. See slides from last time. Fitting : introduction to voting. Slide credit: Kristen Grauman.
CSE . 576. Ali Farhadi. Many slides from Steve Seitz and Larry . Zitnick. Edge. Attneave's. Cat (1954) . Edges are caused by a variety of factors. depth discontinuity. surface color discontinuity. illumination discontinuity.