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, ...

Depth sensing technologies provide machines with three-dimensional awareness by measuring the distance between a sensor and objects in a scene. Active methods such as time-of-flight (ToF) and ...

Combining on-device AI, high-speed depth sensing, and a range exceeding 20 metres, the new camera aims to simplify ...

A new 3D camera inspired by jumping spiders' eyes may well be found in the next generation of battery-operated wearable tech, ...

Northwestern engineers have unveiled an energy-efficient camera called SpiderCam that estimates depth in the same way that ...

Most of the imaging technologies available today, including smartphone cameras, digital video cameras, microscopes and telescopes, are based on the concepts of direct imaging, i.e., a camera directly ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Computer Vision (CV) is the field of research and category of applications concerned with teaching machines to see. It involves using AI algorithms to process visual information from cameras and ...

Computer vision enables machines to interpret visual data by converting two-dimensional images into meaningful descriptions of three-dimensional scenes. Early systems relied on handcrafted filters and ...

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 ...