With the rise of data driven deep neural networks as a realization of universal function
approximators, most research on computer vision problems has moved away from …

Denoising is a fundamental task in image processing with wide applications for enhancing
image qualities. BM3D is considered as an effective baseline for image denoising. Although …

Augmented reality (AR) for smartphones has matured from a technology for earlier adopters,
available only on select high-end phones, to one that is truly available to the general public …

Depth captured by consumer RGB-D cameras is often noisy and misses values at some
pixels, especially around object boundaries. Most existing methods complete the missing …

Despite significant research focus on 3D scene capture systems, numerous unresolved
challenges remain in relation to achieving full coverage scene depth estimation which is the …

We present a novel method to obtain fine-scale detail in 3D reconstructions generated with
low-budget RGB-D cameras or other commodity scanning devices. As the depth data of …

We present the first real-time method for refinement of depth data using shape-from-shading
in general uncontrolled scenes. Per frame, our real-time algorithm takes raw noisy depth …

Video portraits relighting is critical in user-facing human photography, especially for
immersive VR/AR experience. Recent advances still fail to recover consistent relit result …

Consumer depth sensors are more and more popular and come to our daily lives marked by
its recent integration in the latest Iphone X. However, they still suffer from heavy noises …

Digitized methodologies in the recent era contribute to various fields of automation that used
to hold different interests and meanings of human life. Buildings with historical significance …