Dense image matching (stereo matching) is a computer vision technique used to extract three-dimensional information from two or more images captured from slightly different viewpoints. It plays a crucial role in depth estimation and 3D reconstruction by identifying corresponding regions between images.
Camera calibration involves estimating a camera’s internal and external parameters to correct distortions and achieve accurate three-dimensional measurements. It is essential for precise photogrammetry, robotics, and augmented reality applications.
Texture mapping is the process of applying two-dimensional images onto three-dimensional surfaces to enhance visual detail. It is widely used in 3D modeling, computer graphics, and virtual reconstructions to produce realistic objects.
Open-source photogrammetry tools enable researchers and professionals to create three-dimensional models from images without relying on proprietary software. These tools promote transparency, adaptability, and collaboration within the research community.
The recording of cultural heritage focuses on the digital preservation of monuments, artifacts, and historical sites, using technologies such as photogrammetry, laser scanning, and 3D modeling. It supports conservation, education, and virtual access to cultural assets.
Structured laser scanners enable researchers and professionals to capture highly accurate three-dimensional representations of objects and environments by measuring laser reflections. These systems provide precise geometric data, making them invaluable for applications in cultural heritage documentation, engineering, and geospatial analysis.