Three-Dimensional Imaging
3D imaging uses multiple photographic views to reconstruct objects or spaces as three-dimensional forms.
3D imaging refers to a group of photographic and computational methods that capture the shape, surface, and spatial structure of real objects or environments as three-dimensional data rather than as flat pictures. Its roots lie in two related but distinct traditions: stereoscopy, which uses slightly different views to simulate binocular depth, and photogrammetry, which uses photographs for measurement and reconstruction. Early examples include Wheatstone's stereoscope, Laussedat's photographic mapping, and later integral photography, which sought to record many viewing angles at once. Across these forms, 3D imaging develops in response to both visual curiosity and practical needs, from parlor entertainment and topographic survey to archaeology, medicine, and industrial inspection.
In practice, 3D imaging can create either the impression of depth or a measurable spatial model. Within photography, it most directly refers to camera-based methods such as stereoscopy, photogrammetry, structure from motion, integral photography, and multi-camera capture. These approaches derive spatial form from photographic images or optical recording, allowing subjects to be examined from multiple angles and, in some cases, measured or manipulated as models. Typical subjects range from landscapes and architecture to museum specimens, surgical sites, products, and complex machinery.
Neighboring systems such as laser scanning, structured light, and handheld scanners are often grouped with 3D imaging because they also produce spatial models, but they function primarily as measurement tools rather than photographic methods in the strict sense. In photography, this expanded field has also encouraged practices that move beyond straight documentation toward constructed images, sculptural photo-objects, and other hybrid forms in which photographic description and spatial design work together.