SLAM

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 ...

Computer Vision in Augmented Reality Computer vision is the engine behind augmented reality. It helps a device understand what its camera sees and where to place digital content in the real world. In practice, CV detects surfaces, recognizes objects, estimates depth, and tracks motion in real time, so graphics stay anchored as you move. Two core CV tasks shape AR experiences: tracking and mapping, and scene understanding. Tracking keeps a stable anchor to the world, while mapping creates a simple 3D model of the space. Many systems fuse camera data with inertial sensors to reduce drift and keep overlays steady. ...