Depth

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 ...

Augmented Reality and Computer Vision Collaboration Augmented reality (AR) blends digital content with the real world. Computer vision (CV) provides the eyes and brain of that system, turning a camera stream into meaningful information. When they work together, AR overlays stay in place, objects are recognized, and tasks feel natural rather than magical. A typical real-time AR CV pipeline starts with the camera feed, then runs object or feature detection, estimates depth and camera pose, and finally renders virtual content that respects lighting and geometry. The speed and accuracy of each step shape the user experience, especially on mobile devices with limited power. ...