Photometric stereo recovers the surface normals of an object from multiple images with
varying shading cues, ie, modeling the relationship between surface orientation and …

Acquiring high-resolution 3D surface structures is a crucial task in computer vision as it
provides more detailed surface textures and clearer structures. Photometric stereo can …

Image warping a classic task in computer vision aims to use geometric transformations to
change the appearance of images. Recent methods learn the resampling kernels for …

The fusion of infrared and visible images produces a complementary image that captures
both infrared radiation information and visible texture structure details using the respective …

Photometric stereo network is a popular method for recovering the 3-D surface of objects.
Existing methods, both pixel-or spatial-based, often show poor performance in predicting …

The reconstruction of 3D shapes from a single view has been a longstanding challenge.
Previous methods have primarily focused on learning either geometric features that depict …

Ultrasound volume projection imaging has shown great promise to visualize spine features
and diagnose scoliosis thanks to its harmlessness, cheapness, and efficiency. The key to …

This paper proposes an ocean front database and a method for its construction tailored for
studying the dynamic evolution of ocean fronts. Ocean fronts play a crucial role in the …

Imaging systems often produce underexposed or overexposed images due to their limited
capacity to capture the full range of natural illumination. To address this limitation, deep high …

Ultra-high-definition (UHD) image super-resolution (SR) has attracted increasing attention
due to the popularity of modern devices, such as smartphones, which support the capture of …