Adobe Camera Raw Courses and Certifications

PiXimperfect

One-Minute Skin Retouching Action Tutorial in Photoshop

1 rating

Master professional skin retouching in Photoshop with a custom action that creates smooth, natural-looking results while preserving texture. Learn to build and apply automated workflows for efficient photo editing.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

The Cherno

Rendering Sprite Pixels in C++

1 rating

Learn efficient sprite rendering techniques in C++, from reading spritesheets to implementing transparency, enhancing your game development skills.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Fundamental Matrix and Stereo Vision - Lecture 13

Explore fundamental matrices, stereo photosynthesis, and random sampling consensus in image processing and computer vision applications.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Filtering in Computer Vision - Lecture 2

Learn about image filtering techniques, including noise reduction, derivatives, convolution, and Gaussian filters. Explore practical applications in computer vision using MATLAB.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Interest Point Detection in Computer Vision - Lecture 4

Explore interest point detection techniques, including Harris Corner Detector and auto-correlation, with applications in computer vision and image processing.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Pyramids in Image Processing - Lecture 5

Explore image pyramids, including Gaussian and Laplacian types, their applications in image processing, and techniques like reduction, expansion, and compression.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Hough Transform for Image Feature Extraction - Lecture 17

Explore image feature extraction, line fitting techniques, and the Hough Transform for shape detection in computer vision, including practical applications and challenges.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Scale-Invariant Feature Transform (SIFT) - Lecture 6

Explore SIFT algorithm's principles, advantages, and applications in computer vision, including scale-space representation and feature detection techniques.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Hough Transform for Line and Shape Detection - Lecture 18

Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Stereo Vision and Depth Perception in Computer Vision - Lecture 16

Explore stereo vision techniques, including shape reconstruction, rectification, correspondence, and correlation methods for depth perception in computer vision applications.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Face Recognition Techniques and Applications - Lecture 14

Explore face recognition techniques, from simple approaches to advanced methods like PCA and Linear Discriminant Analysis. Learn about eigenvectors, image compression, and scatter matrices.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Mean Shift Algorithm for Computer Vision - Lecture 11

Explore mean shift algorithm for computer vision, covering theory, implementation, and applications in tracking and segmentation. Learn from expert Dr. Mubarak Shah.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Lucas-Kanade Tracker (KLT) - Global Motion Estimation - Lecture 10

Explore Lucas-Kanade Tracker (KLT) for computer vision, covering global motion estimation, object tracking, and 2D transformations. Gain insights into advanced tracking algorithms.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Edge Detection in Computer Vision - Lecture 3

Explore edge detection techniques in computer vision, including Marr-Hildreth and Canny methods. Learn about 2-D Gaussian filters, zero crossings, and hysteresis thresholding for improved image analysis.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Guwahati

Computer Vision and Image Processing - Fundamentals and Applications

Comprehensive exploration of computer vision and image processing, covering fundamentals, techniques, and applications. Includes image formation, enhancement, segmentation, feature extraction, machine learning, and deep learning for visual data analysis.

• YouTube
• 1 day 13 hours
• Self-Paced
• Free Video