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Layered Scene Representations

Layered Scene Representations

Layered Scene Representations. Vision for Graphics CSE 590SS, Winter 2001 Richard Szeliski. Motion representations. How can we describe this scene?. Block-based motion prediction. Break image up into square blocks Estimate translation for each block

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1.03k views • 87 slides
Search Trees

Search Trees

Search Trees. Chapter 10. 6. <. 2. 9. >. =. 8. 1. 4. Outline. Binary Search Trees AVL Trees Splay Trees. Outline. Binary Search Trees AVL Trees Splay Trees.

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659 views • 59 slides
AVL tree self-adjusting tree

AVL tree self-adjusting tree

AVL tree self-adjusting tree. Lai Ah Fur. AVL tree. discovers: A delson- V elskii and L andis balanced Binary search tree the depth of the tree: O(lg N)

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854 views • 47 slides
Photometric Image Formation

Photometric Image Formation

CS 636 Computer Vision. Photometric Image Formation. Nathan Jacobs. overview. the plan review of geometric image formation light and photometric image formation. the plan. assume basic image processing convolution histograms pixel transforms FFT assume basic image transformations

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1.43k views • 42 slides
Filtering

Filtering

Filtering. CSE P 576 Larry Zitnick (larryz@microsoft.com). What do computers see?. Images can be viewed as a 2D function. Image filtering. Linear filtering = Applying a local function to the image using a sum of weighted neighboring pixels. Such as blurring:. =. *. Input image.

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464 views • 27 slides
Filtering

Filtering

Filtering. CSE P 576 Larry Zitnick (larryz@microsoft.com). What do computers see?. Images can be viewed as a 2D function. Image filtering. Linear filtering = Applying a local function to the image using a sum of weighted neighboring pixels. Such as blurring:. =. *. Input image.

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458 views • 27 slides
Detecting and Tracking Moving Objects for Video Surveillance

Detecting and Tracking Moving Objects for Video Surveillance

Detecting and Tracking Moving Objects for Video Surveillance. Isaac Cohen and Gerard Medioni University of Southern California. Their application sounds familiar. Video surveillance Sensors with pan-tilt and zoom Sensors mounted on moving airborne platforms

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445 views • 24 slides
After Dark

After Dark

By William I. Adelson. After Dark . Outline. Introduction Concept Progress Made Conclusion. Introduction. Mobile Application HTML, CSS and Javascript Not a finished project. Concept. Customers vs. Venues Social media Marketing Randomization Equal opportunity for clicks and views

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148 views • 7 slides

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