Over the past years, 3D point cloud registration has attracted unprecedented attention.
Researchers develop various approaches to tackle the challenging task, such as …

In this article, a quantized network acceleration processor (QNAP) is proposed to efficiently
accelerate CNN processing by eliminating most unessential operations based on algorithm …

In this paper, we proposed an accurate and robust method for absolute pose estimation with
UAV (unmanned aerial vehicle) using RANSAC (random sample consensus). Because the …

This paper studies a shuffled linear regression problem. As a variant of ordinary linear
regression, it requires estimating not only the regression variable, but also permutational …

Although convolutional neural network (CNN) models have greatly enhanced the
development of many fields, the untenable number of parameters and computations in these …

Abstract Rigid Point Cloud Registration (PCReg) refers to the problem of finding the rigid
transformation between two sets of point clouds. This problem is particularly important due to …

Human performance capture from RGB videos in unconstrained environments has become
very popular for applications that require generating virtual avatars or digital actors. SOTA …

Point cloud registration aligns point clouds through transformation or deformation. The
existing advanced registration methods perform poorly in registering under various …

Automatic free-form surface reconstruction enables flexible and efficient industrial
manufacturing. However, due to the performance of the 3-D measurement system, accurate …

This work focuses on recovering images from various forms of corruption, for which a
challenging non-smooth, non-convex optimization model is proposed. The model consists of …