activity
20112023
most citedGuaranteed Outlier Removal for Point Cloud Registration with Correspondences

224 citations · 522 across the 48 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 2 cited

Star Tracking using an Event Camera

Tat-Jun Chin, Samya Bagchi, Anders Eriksson +1

Star trackers are primarily optical devices that are used to estimate the attitude of a spacecraft by recognising and tracking star patterns. Currently, most star trackers use conv…

cs.CV2018★ 5 cited

Practical optimal registration of terrestrial LiDAR scan pairs

Zhipeng Cai, Tat-Jun Chin, Alvaro Parra Bustos +1

Point cloud registration is a fundamental problem in 3D scanning. In this paper, we address the frequent special case of registering terrestrial LiDAR scans (or, more generally, le…

cs.CV2018

Visual Localization Under Appearance Change: Filtering Approaches

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin +4

A major focus of current research on place recognition is visual localization for autonomous driving. In this scenario, as cameras will be operating continuously, it is realistic t…

cs.CV2018★ 1 cited

Deterministic consensus maximization with biconvex programming

Zhipeng Cai, Tat-Jun Chin, Huu Le +1

Consensus maximization is one of the most widely used robust fitting paradigms in computer vision, and the development of algorithms for consensus maximization is an active researc…

cs.CV2018

G2D: from GTA to Data

Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do +1

This document describes G2D, a software that enables capturing videos from Grand Theft Auto V (GTA V), a popular role playing game set in an expansive virtual city. The target user…

cs.CV2018★ 6 cited

Robust Fitting in Computer Vision: Easy or Hard?

Tat-Jun Chin, Zhipeng Cai, Frank Neumann

Robust model fitting plays a vital role in computer vision, and research into algorithms for robust fitting continues to be active. Arguably the most popular paradigm for robust fi…