[Object Detection Algorithm] Reproducing YOLOv8
Using the classic YOLO algorithm for instance segmentation
2D Vision
5 posts
Classic Instance Segmentation Model: Mask R-CNN
Mask R-CNN is a major 2017 work by Kaiming He. It performs instance segmentation alongside object detection and achieves excellent results.
Detecting ArUco Marker Pose in ROS
A package for detecting ArUco pose, with installation, testing, and usage instructions.
Testing the Staple Object Tracking Algorithm in C++
Staple combines local HOG features and global color-histogram features for object tracking. This test has been completed in Windows, Ubuntu, and ROS environments and runs successfully.
[Object Recognition] SIFT Algorithm: Theory
SIFT (Scale-Invariant Feature Transform) is an algorithm for detecting and describing local image features. The algorithm searches for extrema across scale space and extracts position, scale, and rotation invariants. These keypoints remain stable under changes in illumination, affine transformation, and noise. The main steps are (1) scale-space extrema detection; (2) keypoint localization; (3) orientation assignment; and (4) keypoint description and matching.