Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust
estimation method for the parameters of a model contaminated by a sizable percentage of …

Compared with ground views and direct overhead views (for orbital satellites), aerial
robotics allow for capturing videos from diverse viewpoints and scenes, thus, the content of …

This paper focuses on the computational optimization of RANSAC. We describe the Parallel
Efficient Sample Consensus (PESAC) framework that allows efficient utilization of SIMD …

The rapid air-to-ground search of injured people in the outdoor environment has been a hot
spot and a great challenge for public safety and emergency rescue medicine. Its crucial …

Diameter detection plays an important role in the production of circular workpieces. It is very
difficult to obtain the accurate measurement of diameter when the circular workpiece is red …

Accurate ball tracking in sports is vital for automatic sports analysis yet it is challenging
mainly due to the small size and occlusions. This study proposes a novel multi‐camera 3D …

The success of many computer vision and pattern recognition applications depends on
matching local features on two or more images. Because the initial correspondence set—ie …

Establishing reliable correspondences in an image pair is a prerequisite and crucial in
computer vision. It remains a difficult topic to separate true and false matches in the given …

As a representative method of optical non-interference measurement, digital image
correlation (DIC) technology is a non-contact optical mechanics method that can measure …

摘要针对滤光片阵列多光谱图像拼接后单波段图像中地物灰度不一致的问题,
提出各波段重叠区域灰度均值比的均值统调算法. 首先, 根据各条带有效区域构建多光谱图像 …