activity
20162021
most citedOn Incremental Structure-from-Motion using Lines

18 citations · 19 across the 7 of their papers we have counts for

collaborators

18 papers

math.NA2021

Solving the Discrete Euler-Arnold Equations for the Generalized Rigid Body Motion

Joao R. Cardoso, Pedro Miraldo

We propose three iterative methods for solving the Moser-Veselov equation, which arises in the discretization of the Euler-Arnold differential equations governing the motion of a g…

cs.RO202118 cited

On Incremental Structure-from-Motion using Lines

André Mateus, Omar Tahri, A. Pedro Aguiar +2

Humans tend to build environments with structure, which consists of mainly planar surfaces. From the intersection of planar surfaces arise straight lines. Lines have more degrees-o…

cs.CV2020

Mapping of Sparse 3D Data using Alternating Projection

Siddhant Ranade, Xin Yu, Shantnu Kakkar +2

We propose a novel technique to register sparse 3D scans in the absence of texture. While existing methods such as KinectFusion or Iterative Closest Points (ICP) heavily rely on de…

cs.RO2020

Active Depth Estimation: Stability Analysis and its Applications

Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas +1

Recovering the 3D structure of the surrounding environment is an essential task in any vision-controlled Structure-from-Motion (SfM) scheme. This paper focuses on the theoretical p…

cs.RO2019

A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision

Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas +1

The 3D depth estimation and relative pose estimation problem within a decentralized architecture is a challenging problem that arises in missions that require coordination among mu…

cs.CV20191 cited

Can generalised relative pose estimation solve sparse 3D registration?

Siddhant Ranade, Xin Yu, Shantnu Kakkar +2

Popular 3D scan registration projects, such as Stanford digital Michelangelo or KinectFusion, exploit the high-resolution sensor data for scan alignment. It is particularly challen…