- 40
- 23 008
CSBrain
Canada
Приєднався 20 тра 2020
Our Brain is amazing, and also the things we can do with it. My name is Carlos Hernandez and I will share Interesting videos and tutorials about the intersection of Neuroscience and Computer Science.
v30 - Face Detection - Week 10: Image classification
Introduction to Computer Vision. Haar filters
Переглядів: 238
Відео
v29 - Scene classification - Week 10: Image classification
Переглядів 1043 роки тому
Introduction to Computer Vision
v28 - Classification - Week 10: Image classification
Переглядів 1203 роки тому
Introduction to Computer Vision. K nearest neighbor, KNN, Support vector machines, SVM
v27 - Intensity-based Registration - Week 9: Image registration
Переглядів 1,1 тис.3 роки тому
Introduction to Computer Vision
v26 - Homography - Week 9: Image registration
Переглядів 4893 роки тому
Introduction to Computer Vision
v25 - Image Transformations - Week 9: Image registration
Переглядів 2713 роки тому
Introduction to Computer Vision. affine matrix
v24 - Generalized Hough Transform - Week 8: Model Fitting
Переглядів 2,2 тис.3 роки тому
Introduction to Computer Vision
v23 - Hough Transform - Week 8: Model Fitting
Переглядів 4663 роки тому
Introduction to Computer Vision
v22 - Active Contours - Week 8: Model Fitting
Переглядів 4,6 тис.3 роки тому
Introduction to Computer Vision. Snakes
v21 - Graphs - Week 7: Segmentation
Переглядів 3993 роки тому
Introduction to Computer Vision. Normalized cut graph
v20 - Clustering - Week 7: Segmentation
Переглядів 833 роки тому
Introduction to Computer Vision. K-means, Mean-shift
v17 - Optical Flow - Week 6: Motion
Переглядів 3053 роки тому
Introduction to Computer Vision. Lucas Kanade algorithm
v15 - Image Projection - Week 5: Binocular Vision
Переглядів 833 роки тому
v15 - Image Projection - Week 5: Binocular Vision
v14 - uncalibrated stereovision - Week 5: Binocular Vision
Переглядів 913 роки тому
v14 - uncalibrated stereovision - Week 5: Binocular Vision
v13 - Stereovision - Week 5: Binocular Vision
Переглядів 5163 роки тому
v13 - Stereovision - Week 5: Binocular Vision
v12 - SIFT - Week 4: Feature detection
Переглядів 1633 роки тому
v12 - SIFT - Week 4: Feature detection
v11 - Corners - Week 4: Feature detection
Переглядів 823 роки тому
v11 - Corners - Week 4: Feature detection
v10 - Image Gradients - Week 4: Feature detection
Переглядів 733 роки тому
v10 - Image Gradients - Week 4: Feature detection
v9 - Sampling and aliasing - Week 3: Linear Filters
Переглядів 1463 роки тому
v9 - Sampling and aliasing - Week 3: Linear Filters
v8 - Fourier Transform - Week 3: Linear Filters
Переглядів 1433 роки тому
v8 - Fourier Transform - Week 3: Linear Filters
v7 - Convolution - Week 3: Linear Filters
Переглядів 1,1 тис.3 роки тому
v7 - Convolution - Week 3: Linear Filters
v5 - Color Representation - Week 2: Color
Переглядів 403 роки тому
v5 - Color Representation - Week 2: Color
v3 - Light Interactions - Week 1: The basics
Переглядів 523 роки тому
v3 - Light Interactions - Week 1: The basics
v2 - Image Formation - Week 1: The basics
Переглядів 843 роки тому
v2 - Image Formation - Week 1: The basics
v1 - Introduction to computer vision - Week 1: The basics
Переглядів 1053 роки тому
v1 - Introduction to computer vision - Week 1: The basics
Thank you for the videos. Are generated files used only for grey matter further (seg_1)
amazing video. thank you.
thanks
that was simple to understand... thanks
thank you
No optical flow video ever shows how to solve for u,v. I dont think the people making these types of videos know how to do it.
Thank you! This really helped me understand better
thank u , can u please give me the code
Great video! Happy to post the first comment :)
And the only one
Thanks a lot, very clear & understandable
Thank you for posting this! Very helpful, I feel like I understand it much better now.
please make an python example of this.
Great overall tutorial. Please update the description to reflect the changes to the atlas availability.
SUIT toolbox is great and this tutorial is consice, clear and to the point. Thanks!
Exactamente lo que buscaba. Excelente tutorial
Excelente, gracias