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, ...

eCapture, a brand focused on developing technology for the growing computer vision market, today is introducing the smallest form factor stereoscopic 3D depth sensing camera. The new LifeSense™ G53 is ...

Using vision technology to identify weeds in agriculture is an area of active development, and a team of researchers recently shared their method of using a combination of machine vision plus depth ...

Luxonis announced the launch of its OAK 4 devices - a groundbreaking, fully self-contained computer vision camera system that achieves 52 TOPS of AI inference compute all on device (40X the previous ...

3D depth-sensing cameras (also called Time of Flight cameras) are pivotal in the advancement of AI, with applications ranging from motion control sensing, to self-driving cars, to object avoidance in ...

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 ...

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, ...

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 ...