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 ...

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 two ...

Recently, with the unprecedented success of deep learning in computer vision, convolutional neural networks (CNNs) have achieved promising results in the field of depth estimation.

Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and ...

Other 3D vision advances include monocular depth estimation, point cloud understanding and differentiable rendering, which collectively empower machines to reconstruct, understand and interact ...

This innovative system enables depth imaging and distance estimation with just a single camera module and an in-vehicle computing platform.

The second contribution presents a practical and clinically aligned pipeline for estimating polyp diameter. We develop a robust end-to-end pipeline that segments the polyp and applies ViTCAN-Depth, a ...

Unlike traditional object detection, HPE allows the computer not only to find a human in the image but to actually understand its behavior.

This precision is important. "Depth sensing is going to be mission critical going forward," Qualcomm's product marketing lead for camera and computer vision, Philip-James Jacobowitz, told Engadget.