Depth Estimation
Depth estimation is a computer vision technique that predicts the distance of objects in a scene from a camera, creating a depth map where each pixel value represents depth. It is crucial for understanding 3D structure from 2D images, enabling applications like augmented reality, autonomous navigation, and 3D reconstruction. Methods range from traditional stereo vision to modern deep learning approaches using monocular or multi-view images.
Developers should learn depth estimation for tasks requiring spatial awareness, such as building robotics systems, developing AR/VR experiences, or enhancing photography with bokeh effects. It is essential in autonomous vehicles for obstacle detection and in medical imaging for 3D analysis, as it provides critical depth information that 2D images lack.