In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, ...

Monocular depth estimation plays a crucial role in many downstream visual tasks. Although research on monocular depth estimation is relatively mature, it commonly involves strategies that entail ...

Self-supervised monocular depth estimation has emerged as a transformative approach in computer vision, enabling accurate distance prediction from single images without the need for ground truth depth ...

Computer vision? Are we talking about computers with eyes? Or do you mean seeing double as a result of staring at a computer screen all day? You're on the right track with your first guess - computer ...

Many of today's businesses have recognized the benefits of AI. McKinsey reports that computer vision ranks second among all other AI solutions in terms of application, and Statista research predicts ...

The proposed method takes as input the focal stack and camera settings, and establishes a cost volume based on a lens defocus model. This design enables depth estimation with different camera settings ...