find-object
A ROS-based object detection and pose estimation library for 2D and 3D applications using OpenCV.
What is find-object?
Find-Object is an open-source computer vision library for detecting objects and estimating their 3D pose in robotic applications. It uses OpenCV for feature matching and integrates with ROS to process image streams from cameras, enabling robots to recognize and locate objects in their environment.
Robotics developers and researchers working on perception tasks such as object recognition, visual servoing, or augmented reality in ROS-based systems.
Developers choose Find-Object for its straightforward integration with ROS, support for both 2D detection and 3D pose estimation, and reliance on proven OpenCV algorithms without the complexity of deep learning setups.
Overview
Find-Object project
Use Cases
Best For
- Detecting known objects in camera feeds for robotic pick-and-place tasks
- Estimating 3D object poses using RGB-D cameras like Intel RealSense
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