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, model ...

For portrait photos, the iPhone SE’s camera uses machine learning to estimate depth of field, and Ben Sandofsky, one of the developers of mobile photography app Halide, took a closer look at how ...

“Light,” a former camera company has announced a new depth sensor that could be a game changer, upending LIDAR and computer vision based depth measurement, by producing a combination RGB image ...

Its depth estimation works by having an IR emitter send out 30,000 dots arranged in a regular pattern. ... and then relies on stereo disparity captured by two IR cameras to calculate depth.

Apple's Depth Pro AI model sets a new standard in 3D depth estimation, offering high-resolution, real-time depth mapping from a single image without camera metadata—transforming industries like ...

The OAK-D is an open-source, full-color depth sensing camera with embedded AI capabilities, and there is now a crowdfunding campaign for a newer, lighter version called the OAK-D Lite. The new mode… ...

Accurate and robust monocular passive depth sensing plays a crucial role in various applications. Toward this goal, Scientists in China constructed a compact meta-imaging camera, which achieves ...

Ordinarily, depth-sensing would require multiple visual inputs, such as those used in Kinect or, more relevantly, the 6 cameras dotted around Amazon's smartphone or Google's Project Tango ...