In an industrial environment, measuring and reconstructing metal objects using computer
vision methods can be affected by surface highlight reflections, leading to inaccurate results …

Polarization three-dimensional (3D) imaging technology has received extensive attention in
recent years because of its advantages of high accuracy, long detection distance, simplicity …

Specular highlight detection and removal is a fundamental problem in computer vision and
image processing. In this paper, we present an efficient end-to-end deep learning model for …

Bruise reduces the edible quality of nectarines and brings potential risks of cross-infection of
fruit, but it is challenging to accurately detect bruised nectarines because of the color …

For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …

Since specular reflection often exists in the real captured images and causes deviation
between the recorded color and intrinsic color, specular reflection separation can bring …

We propose a sparse and low-rank reflection model for specular highlight detection and
removal using a single input image. This model is motivated by the observation that the …

Reflection happening on a specular surface severely degrades the performance of
structured light-based 3D measurements. Traditional structured light techniques remain …

The accurate estimation of camera internal and external parameters is one of the keys to
high-precision camera calibration. At present, the mainstream Zhang's calibration method …

Specular highlights in images pose a significant challenge in algorithms for image
segmentation, object detection and other image-based decision-making systems. However …