activity
20042025
most citedNear-Optimal Path Planning for Complex Robotic Inspection Tasks

3 citations · 7 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Graph-based Point Cloud Surface Reconstruction using B-Splines

Stuti Pathak, Rhys G. Evans, Gunther Steenackers +1

Generating continuous surfaces from discrete point cloud data is a fundamental task in several 3D vision applications. Real-world point clouds are inherently noisy due to various t…

cs.CV2024

Revisiting Point Cloud Completion: Are We Ready For The Real-World?

Stuti Pathak, Prashant Kumar, Dheeraj Baiju +3

Point clouds acquired in constrained, challenging, uncontrolled, and multi-sensor real-world settings are noisy, incomplete, and non-uniformly sparse. This presents acute challenge…

cs.HC2023

Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression

Ivan De Boi, Elissa Embrechts, Quirine Schatteman +3

Visuospatial neglect is a disorder characterised by impaired awareness for visual stimuli located in regions of space and frames of reference. It is often associated with stroke. P…

cs.CV2023★ 2 cited

How to turn your camera into a perfect pinhole model

Ivan De Boi, Stuti Pathak, Marina Oliveira +1

Camera calibration is a first and fundamental step in various computer vision applications. Despite being an active field of research, Zhang's method remains widely used for camera…

physics.ins-det2023

On the angular control of rotating lasers by means of line calculus on hyperboloids

Rudi Penne, Ivan De Boi, Steve Vanlanduit

We propose a new paradigm for modelling and calibrating laser scanners with rotation symmetry, as is the case for Lidars or for galvanometric laser systems with one or two rotating…

cs.CV2023★ 1 cited

GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds

Stuti Pathak, Thomas M. McDonald, Seppe Sels +1

The processing, storage and transmission of large-scale point clouds is an ongoing challenge in the computer vision community which hinders progress in the application of 3D models…