Light field imaging represents a significant evolution in photographic and computational imaging techniques, enabling the capture of both the spatial and angular information of light rays. This ...

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, ...

Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed generation of detailed 3D depth maps from a ...

Industrial-grade depth sensing platform brings sub-1% accuracy, multi-camera stability and Jetson-ready integration for warehouse and automation deployments.

For humans, determining which objects are close and far away when we look at a photograph is effortless. While we take this ability for granted, it’s quite challenging for computers. This may not be ...

Apple's AI research team has released a model called Depth Pro that significantly advances the way machines perceive depth. It can accurately recognize the depth of objects with fine details such as ...

In recent years, artificial intelligence has demonstrated tremendous potential for the development and advancement of a wide variety of technologies. A good example is facial direction estimation, ...

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 ...