Fulldepth

Fulldepth is a term used across imaging, media production, and computer graphics to describe the aim of capturing, representing, or rendering complete depth information for every visible part of a scene. It denotes a depth channel that is dense and accurate enough to support reliable three-dimensional reconstruction and depth-based effects, rather than sparse or approximate depth data.

In photography and cinematography, fulldepth refers to techniques and equipment that produce accompanying depth information alongside color imagery. This enables post-production tasks such as depth-based compositing, realistic parallax in 3D presentations, and post-focus or depth-of-field adjustments that respond to a full scene depth model.

In computer vision and robotics, fulldepth emphasizes dense and reliable depth sensing for scene understanding, obstacle detection, mapping, and interaction. Dense depth improves tasks such as SLAM (simultaneous localization and mapping), gesture recognition, and model generation in robotics and AR/VR experiences.

In rendering and graphics, fulldepth means using a complete depth representation, such as depth textures or z-buffers, to drive effects like occlusion, accurate shadows, volumetric phenomena, and depth of field. This enables more convincing virtual environments and consistent perspective when objects move relative to the camera.

Common technologies used to achieve fulldepth include time-of-flight sensors, structured-light systems, stereo vision, LiDAR, and plenoptic (light-field) cameras. Depth data are stored in formats like depth maps, disparity maps, or point clouds, often in EXR, PLY, or PFM representations. Challenges include sensor noise, occlusion, calibration, and privacy considerations.