In this lab, we use COLMAP to generate 3D model.

3D reconstruction is the process of capturing the shape and appearance of real objects and environments to create a digital three-dimensional model. This process can be applied in various fields such as computer vision, robotics, virtual reality, and medical imaging. Below are some key aspects and techniques related to 3D reconstruction:

Techniques for 3D Reconstruction

• Photogrammetry: This technique involves taking multiple photographs of an object or scene from different angles and using software to analyze the images and reconstruct the 3D geometry.

• Laser Scanning: Laser scanners capture detailed 3D information about an object or environment by measuring the distance to points on the surface using laser beams. The resulting point cloud can be processed into a 3D model.

• Structured Light Scanning: This method projects a series of light patterns onto the object. The deformation of the patterns when they hit the surface is used to reconstruct the 3D shape.

• Depth Sensors: Devices like Microsoft Kinect or Intel RealSense use infrared light or other techniques to measure depth and create a 3D representation of the scene in real-time.

• Multi-View Stereo (MVS): This approach uses multiple images taken from different viewpoints to generate a dense 3D model. It involves matching features across images to estimate depth.

• SLAM (Simultaneous Localization and Mapping): This technique is used in robotics and autonomous navigation to create a map of an unknown environment while simultaneously keeping track of the agent's location within it.