Optical flow is the problem of estimating the motion of objects in an image or video sequence. Optical flow is pivotal to many computer vision...
Realtime object tracking models
Ben Kang
The current state-of-the-art tracking models are hampered by low speed, limiting their applicability on devices with limited computational power....
Realtime object tracking models
Jose Rios
Deep learning techniques impressively improve the performance of object tracking algorithms. Such algorithms have been deployed on some drones and...
A Pipeline for NeRF Experimentation and Visualization
Joshua Ahn
The goal for this project is to develop a NeRF model training pipeline within the OpenCV library. The end result will be a fully functioning data...
OpenCX: Extending OpenCV with NeRFs and LLMs
Likhit Talasila
Investigative work on extending OpenCV. Researched state of the art and emerging 3D multimodal scene representations and use cases. For eg, queryable...
Multi-camera calibration part 2
Linfei
This project extends the work from the previous year, which included basic algorithms for multi-camera calibration, by adding testing cases with...
IDEA: Realtime object tracking models
lpy
Real-time object tracking models working on edge devices. I will use MAE pre train and knowledge distillation to make the performance better. The...
This proposal aims to add useful functions for forward and inverse rendering to the OpenCV 3D module. The implementation will be divided into two...
Unlocking the Full Potential of OpenCV with G-API and Python
Tianyu Yang
The objective of this project is to create a comprehensive Python tutorial on G-API, a graph execution framework for OpenCV. The tutorial will cover...
Point Cloud Compression
Yuhang Wang
This project aims to implement point cloud compression algorithm in OpenCV. This project intends to adopt octree as the data structure carrying point...