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Lecture 2: Edge detection and resampling

Lecture 2: Edge detection and resampling

CS6670: Computer Vision. Noah Snavely. Lecture 2: Edge detection and resampling. From Sandlot Science. Administrivia. New room starting Thursday: HLS B11. Administrivia. Assignment 1 (feature detection and matching) will be out Thursday Turning via CMS: https://cms.csuglab.cornell.edu/

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842 views • 66 slides
Lecture 11: Structure from motion, part 2

Lecture 11: Structure from motion, part 2

CS6670: Computer Vision. Noah Snavely. Lecture 11: Structure from motion, part 2. Announcements. Project 2 due tonight at 11:59pm Artifact due tomorrow (Friday) at 11:59pm Questions?. Final project. Form your groups and submit a proposal Work on final project

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700 views • 55 slides
Measuring height

Measuring height

scene cross ratio. C. image cross ratio. Measuring height. ?. T (top of object). t. r. R (reference point). H. b. R. B (bottom of object). v Z. ground plane. scene points represented as. image points as. Measuring height. t. v. H. image cross ratio. v z. r.

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658 views • 51 slides
Lecture 2: Convolution and edge detection

Lecture 2: Convolution and edge detection

CS4670: Computer Vision. Noah Snavely. Lecture 2: Convolution and edge detection. From Sandlot Science. Gaussian Kernel. Source: C. Rasmussen. Mean vs. Gaussian filtering. Gaussian filters. = 1 pixel. = 10 pixels. = 30 pixels. = 5 pixels. Gaussian filter.

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1.06k views • 29 slides
Lecture 27: Eigenfaces

Lecture 27: Eigenfaces

CS4670/5670: Intro to Computer Vision. Noah Snavely. Lecture 27: Eigenfaces. Announcements. Project 4 has been released, due Friday, November 16 at 11:59pm Please get started early! Quiz on Friday. convert x into v 1 , v 2 coordinates. What does the v 2 coordinate measure?.

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325 views • 20 slides

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