Occlusion in augmented reality (AR) refers to the technique of ensuring virtual objects appear correctly behind or in front of real-world objects, maintaining visual realism. When a virtual object is placed in a scene, occlusion ensures that parts of it are hidden if a physical object (like a table or wall) blocks the user’s view. Without proper occlusion, virtual elements might appear to “float” unrealistically in front of real objects, breaking immersion. For example, if an AR app places a digital vase on a real table, the vase should be partially obscured when the user moves to a viewpoint where the table’s edge blocks it. Achieving this requires understanding the 3D structure of the environment and dynamically adjusting virtual content based on depth.
Developers manage occlusion primarily through depth sensing and environmental understanding. Depth sensors, such as LiDAR (Light Detection and Ranging) on iPhones or stereo cameras on other devices, capture the distance of surfaces from the camera. This data creates a depth map, which AR frameworks like ARKit or ARCore use to determine which real-world objects are closer to the user than virtual content. For instance, ARKit’s Scene Geometry API generates a 3D mesh of the environment, allowing apps to test collisions between virtual and real objects. Additionally, environment tracking technologies like SLAM (Simultaneous Localization and Mapping) continuously update the spatial map as the user moves, enabling real-time adjustments. Developers can integrate these features by accessing device APIs or using engines like Unity’s AR Foundation, which abstracts sensor data into usable depth textures or occlusion planes.
Another approach involves semantic segmentation and machine learning. Some systems classify pixels in the camera feed to distinguish objects like people, furniture, or walls. For example, Google’s ARCore uses ML models to detect surfaces and estimate depth even without dedicated sensors. Once segmented, these regions can act as masks to occlude virtual content. A common implementation is to render virtual objects with a depth buffer that compares their position against the real-world depth map. If a real object’s depth value is lower (closer to the user), the virtual pixel is discarded. Challenges include handling dynamic environments (e.g., moving people) and balancing performance—complex occlusion can strain mobile GPUs. Developers often optimize by limiting occlusion to key areas or using lower-resolution depth maps. Tools like Apple’s RealityKit or Unreal Engine’s occlusion shaders simplify this process, allowing developers to focus on app logic rather than low-depth calculations.