engineering

Photogrammetry & 3D Reconstruction

The science of extracting 3D measurements from photographs — stereo matching, point cloud generation, camera calibration, orthorectification, and structure-from-motion pipelines.

photogrammetry3D reconstructionstereo matchingpoint cloudcamera calibrationorthorectificationstructure from motion

Photogrammetry transforms ordinary photographs into precise 3D models by exploiting geometric relationships between multiple viewpoints. From aerial survey mapping to archaeological site documentation, photogrammetric techniques convert 2D image data into dense 3D point clouds, calibrated camera models, and georeferenced orthomosaics.

These simulations let you explore stereo matching algorithms, build and rotate point clouds, calibrate virtual cameras with lens distortion models, perform orthorectification of oblique imagery, and run structure-from-motion pipelines — all with interactive parameter controls and real-time visual feedback.

5 interactive simulations

simulator

Camera Calibration & Lens Distortion

Simulate camera calibration — explore how focal length, principal point offset, and radial distortion coefficients affect image geometry

simulator

Orthorectification & Map Projection

Simulate orthorectification — explore how terrain elevation, camera tilt, and flight altitude affect geometric correction of aerial imagery

simulator

Point Cloud Generation & Visualization

Generate and visualize 3D point clouds — explore how point density, noise level, and viewing angle affect reconstructed surface quality

simulator

Stereo Matching & Disparity Maps

Simulate stereo matching algorithms — explore how baseline distance, block size, and disparity range affect depth estimation from stereo image pairs

simulator

Structure from Motion Pipeline

Simulate the SfM pipeline — explore how image count, feature matches, and bundle adjustment iterations affect 3D reconstruction quality