Estimating depth from single RGB images and videos is of widespread interest due to its
applications in many areas, including autonomous driving, 3D reconstruction, digital …

Quantitative analysis of root development is becoming a preferred option in assessing the
function of hidden underground roots, especially in studying resistance to abiotic stresses. It …

The Rhizotrons method is an important means of detecting dynamic growth and
development phenotypes of plant roots. However, the segmentation of root images is a …

The detection of the most common type of liver tumor, that is, hepatocellular carcinoma
(HCC), is one essential step to liver pathology image analysis. In liver tissue, common cell …

Depth estimation plays an important role in vision‐based laparoscope surgical navigation
systems. Most learning‐based depth estimation methods require ground truth depth or …

With the development of computing technique, the emergence of computers and their
derivatives as the carrier of modern artificial intelligence has penetrated into people's daily …

The High-Resolution Imaging Science Experiment (HiRISE) onboard the Mars
Reconnaissance Orbiter provides remotely sensed imagery at the highest spatial resolution …

Depth estimation is a crucial component in many 3D vision applications. Monocular depth
estimation is gaining increasing interest due to flexible use and extremely low system …

Currently, the method based on computer vision for depth information extraction and depth
estimation is widely used. It can get depth information from 2D images, depth maps, or …

摘要利用二维图像来进行场景的深度估计是计算机视觉领域的经典问题之一,
也是实现三维重建, 场景感知的重要环节. **年来基于深度学**的单目图像深度估计发展迅速 …