Computer vision is one of the most active research fields in information technology today.
Giving machines and robots the ability to see and comprehend the surrounding world at the …

State-of-the-art automated image orientation (Structure from Motion) and dense image
matching (Multiple View Stereo) methods commonly used to produce 3D information from …

The OpenMVG C++ library provides a vast collection of multiple-view geometry tools and
algorithms to spread the usage of computer vision and structure-from-motion techniques …

目的图像匹配作为计算机视觉的核心任务, 是后续高级图像处理的关键, 如目标识别, 图像拼接, 3
维重建, 视觉定位, 场景深度计算等. 本文从局部不变特征点, 直线, 区域匹配3 …

摘要基于深度学习的工业缺陷检测方法可以降低传统人工质检的成本, 提升检测的准确性与效率
, 因而在智能制造中扮演重要角色, 并逐渐成为计算机视觉领域新兴的研究热点之一 …

Low-textured image stitching remains a challenging problem. It is difficult to achieve good
alignment of images and it is easy to break images structures are often broken due to …

Connected filters are well-known for their good contour preservation property. A popular
implementation strategy relies on tree-based image representations: for example, one can …

Discriminating value crops from weeds is an important task in precision agriculture. In this
paper, we propose a novel image processing pipeline based on attribute morphology for …

Current trends in image segmentation are to compute a hierarchy of image segmentations
from fine to coarse. A classical approach to obtain a single meaningful image partition from a …

The topographic map of a gray-level image, also called tree of shapes, provides a high-level
hierarchical representation of the image contents. This representation, invariant to contrast …