The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

Several RGB-D datasets have been publicized over the past few years for facilitating
research in computer vision and robotics. However, the lack of comprehensive and fine …

In this paper, a novel feature extraction method based on intrinsic image decomposition (IID)
is proposed for hyperspectral image classification. The proposed method consists of the …

With increasing focus on augmented and virtual reality applications (XR) comes the demand
for algorithms that can lift objects from images and videos into representations that are …

Hyperspectral anomaly detection is one of the most active topics in hyperspectral image
(HSI) analysis. The fine spectral information of HSIs allows us to uncover anomalies with …

A novel unsupervised sparse component extraction algorithm is proposed for detecting
micro defects while employing a thermography imaging system. The proposed approach is …

A color design process for fabric images can resort to a solution of a color transfer problem
based on given color themes. Usually, the color transfer process contains an image …

Single image-based intrinsic image decomposition attempts to separate one input image
into several intrinsic components, which is inherently an under-constrained problem. Some …

Decomposing an image into the shading and reflectance layers remains challenging due to
its severely under-constrained nature. We present an approach based on illumination …

It is difficult to extract both structural and functional information from the input grey magnetic
resonance imaging (MRI) and pseudo-color positron emission tomography (PET) images …