Reconstruction

3D Vision and Spatial Computing Trends 3D vision and spatial computing are moving from niche labs to everyday devices. In 2025, compact depth sensors, robust SLAM, and fast processors help machines understand space the way people do. AI accelerates perception tasks such as object recognition, pose tracking, and depth estimation, even when lighting is uneven or scenes are cluttered. The result is more responsive apps that blend digital information with our real world. You can see this in AR features on phones, smarter home robots, and design tools that map rooms in seconds. ...

3D Reconstruction and Depth Sensing in Computer Vision 3D reconstruction and depth sensing turn flat images into three dimensional information. They help machines understand the shape, size, and position of objects in the real world. With depth data, computers can measure distances, build models, and plan actions. The methods are diverse, but they share a common goal: recover the geometry of a scene from visual data. Depth sensing in practice ...