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, ...

Computer vision can turn existing loss prevention infrastructure into a real-time data platform that supports operations, ...

Depth estimation and shape from focus (SFF) techniques remain at the forefront of computer vision research, addressing the challenge of recovering three-dimensional structural information from ...

Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Dual cameras are so passé. Qualcomm is getting ready to define the next generation of cameras for the Android ecosystem. It's adding three new camera modules to its Spectra Module Program, which lets ...

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...

A new study by researchers from The University of Western Australia has used computer vision to reconstruct the false illusion of 3D shapes created by moth wing patterns. The research, published in ...

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 ...