CameraTransform

CameraTransform performs image-to-world coordinate transformations and camera extrinsic parameter estimation to quantify object positions, sizes, and distances from camera images and video for ecological research.

Key Features:

• Perspective Distortion Correction: Corrects perspective distortions in camera images to preserve spatial relationships.
• Bird's-Eye View Projections: Transforms images into bird's-eye (top-down) projections for top-down spatial analysis.
• Coordinate Transformations: Converts image coordinates to real-world coordinates and vice versa.
• Extrinsic Parameter Estimation: Estimates extrinsic camera parameters—elevation, tilt and roll angles, and heading—using image contextual cues such as visible horizons, GPS coordinates of landmarks, known object sizes, or multiple images of the same object.
• Algorithm Evaluation: Evaluates performance using computer-generated synthetic images with known parameters.
• Ecological Application Demonstration: Validated on images of emperor penguin colonies, achieving tilt/roll errors <1° and camera elevation error <5%.

Scientific Applications:

• Ecological Spatial Quantification: Provides quantitative spatial data from camera recordings for ecological studies.
• Behavioral and Population Studies: Supports analysis of animal behavior, population dynamics, and habitat use by providing precise object positions and movements.

Methodology:

Implements mathematical image-transformation operations in Python and derives extrinsic camera parameters from contextual image information, with validation using computer-generated synthetic images and empirical tests on emperor penguin colony photographs.