8 papers · 1 filter
O-SCD++: Replay-Free Online Scene Change Detection via Recursive Evidence Fusion
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +4
Online scene change detection requires an agent to detect what has changed in a previously mapped environment while it is still on site, observing from unconstrained viewpoints and…
Reflection-Robust 6DoF Object Tracking with Light Fields
Nikolai Goncharov, Donald G. Dansereau
Tracking the 6DoF pose of a moving rigid object is fundamental to robotics and autonomous driving, but existing trackers assume that object appearance is stable across a sequence,…
PlenoCI: Plenoptic CharacterIstics for View Dependence Aware Change Classification
Jason Lai, Chamuditha Jayanga Galappaththige, Niko Suenderhauf +2
Radiance field representations such as 3D Gaussian Splatting (3DGS) natively encode complex visual phenomena such as occlusions and view dependence, but they are inherently underco…
From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting
Chamuditha Jayanga Galappaththige, Jason Lai, Timothy Patten +3
Scene change detection methods built on Gaussian splatting universally follow a render-then-compare paradigm: the pre-change scene is rendered into 2D and compared against post-cha…
A 3D Reconstruction Benchmark for Asset Inspection
James L. Gray, Nikolai Goncharov, Alexandre Cardaillac +3
Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstrea…
Changes in Real Time: Online Scene Change Detection with Multi-View Fusion
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +3
Online Scene Change Detection (SCD) is an extremely challenging problem that requires an agent to detect relevant changes on the fly while observing the scene from unconstrained vi…
Multi-View Pose-Agnostic Change Localization with Zero Labels
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +3
Autonomous agents often require accurate methods for detecting and localizing changes in their environment, particularly when observations are captured from unconstrained and incon…
TaCOS: Task-Specific Camera Optimization with Simulation
Chengyang Yan, Donald G. Dansereau
The performance of perception tasks is heavily influenced by imaging systems. However, designing cameras with high task performance is costly, requiring extensive camera knowledge…