'Laplacian pyramid' presentation slideshows

The Frequency Domain

734 views • 49 slides

Dr. J. Shanbehzadeh Shanbehzadeh@gmail M.HosseinKord

570 views • 41 slides

Image Processing

Image Processing. Xuejin Chen xjchen99@ustc.edu.cn. Ref: http://fourier.eng.hmc.edu/e161/lectures/gradient/node10.html. Linear Filter. Smoothing Box, Bilinear, Gaussian. Linear Filter. Smoothing Box, Bilinear, Gaussian Edge Sobel. Linear Filter.

641 views • 41 slides

Recap from Monday

Recap from Monday. Frequency domain analytical tool computational shortcut compression tool. Fourier Transform in 2d. in Matlab, check out: imagesc(log(abs(fftshift(fft2(im)))));. Image Blending (Szeliski 9.3.4). Google Street View. CS129: Computational Photography

357 views • 35 slides

Announcements

419 views • 33 slides

Multiscale Analysis of Images

Multiscale Analysis of Images. Gilad Lerman Math 5467 (stealing slides from Gonzalez & Woods, and Efros). The Multiscale Nature of Images. Recall: Gaussian pre-filtering. G 1/8. G 1/4. Gaussian 1/2. Solution: filter the image, then subsample

423 views • 32 slides

Recall: Gaussian smoothing/sampling

519 views • 32 slides

Image Stitching II

332 views • 32 slides

Image Stitching II

Image Stitching II. Ali Farhadi CSE 455 Several slides from Rick Szeliski , Steve Seitz, Derek Hoiem , and Ira Kemelmacher. RANSAC for Homography. Initial Matched Points. RANSAC for Homography. Final Matched Points. RANSAC for Homography. Image Blending. 0. 1. 0. 1. =. +.

528 views • 31 slides

Image Stitching II

Image Stitching II. Ali Farhadi CSE 455 Several slides from Rick Szeliski , Steve Seitz, Derek Hoiem , and Ira Kemelmacher. RANSAC for Homography. Initial Matched Points. RANSAC for Homography. Final Matched Points. RANSAC for Homography. Image Blending. 0. 1. 0. 1. =. +.

458 views • 31 slides

Gaussian Pyramid and Its Applications

Gaussian Pyramid and Its Applications. Speaker: Po-Hung Wu. Outline. Introduction Gaussian and Laplacian pyramid Application Salient region detection Edge-aware image processing Conclusion Reference. Introduction. Why Gaussian? Easy to implement! A hierarchical way!. Introduction.

511 views • 28 slides

Image Registration

Image Registration. Vlad Magdin York University December 7, 2007. Motivation. Two sources for difference between frames Object motion Camera motion Motion is a powerful cue for detection Can detect moving objects if camera motion is eliminated via frame differencing. Motivation.

301 views • 25 slides

PADS Power Aware Distributed Systems Algorithms

PADS Power Aware Distributed Systems Algorithms. USC Information Sciences Institute Brian Schott, Bob Parker, Ron Riley UCLA Mani Srivastava Rockwell Science Center Charles Chien. Algorithm Development OUTLINE. Multi-resolution acoustic beam-forming for tracking and cueing.

330 views • 20 slides

Noam Roth

Monitoring and Enhancing Visual Features (movement, color) as a Method for Predicting Brain Activity Level -in Terms of the Perception of Pain Sensation.

136 views • 13 slides