Extended Portfolio
Computer Vision
Core computer vision work spanning augmented reality, tracking, detection, and classical CV pipelines.
Final Project: Enhanced Augmented Reality
Markerless AR pipeline with feature extraction and matching, homography estimation, pose estimation, and camera calibration.
Augmented Reality
Marker-based AR with denoising, corner detection, KMeans clustering, and homography-based inverse warping.
Motion Detection + Optical Flow
Standard and hierarchical optical flow implementations using image pyramids and Lucas-Kanade methods.
Traffic Lights + Signs
Detection experiments using Hough transforms, Canny edges, and simulated/real-world traffic imagery.
Object Tracking + Pedestrian Detection
Tracking pipelines using Kalman filters and particle filter approaches.
Classification
Face detection and recognition studies using PCA, boosting, Haar features, and Viola-Jones style techniques.