Hi, I am a computer vision (CV) engineer who has extensive experience in traditional computer vision algorithms as well as deep learning.
Traditional CV Algorithms:
- SIFT (Scale-Invariant Feature Transform)
- HOG (Histogram of Oriented Gradients)
- Canny Edge Detection
- Haar Cascade Classifier
- RANSAC (Random Sample Consensus)
- Blob Detection Algorithms
- Lucas-Kanade Optical Flow
- Corner Detection (Harris Corner Detection)
Deep Learning CV Algorithms
- Convolutional Neural Networks (CNNs)
- ResNet (Residual Network)
- VGG (Visual Geometry Group) Network
- YOLO (You Only Look Once)
- Generative Adversarial Networks (GANs)
- Transformer-Based Architectures (e.g., ViT)
Please contact me for more details