2 citations · 5 across the 16 of their papers we have counts for
4 papers · 2 filters
Segment Anything in Light Fields for Real-Time Applications via Constrained Prompting
Nikolai Goncharov, Donald G. Dansereau
Segmented light field images can serve as a powerful representation in many of computer vision tasks exploiting geometry and appearance of objects, such as object pose tracking. In…
Surf-NeRF: Surface Regularised Neural Radiance Fields
Jack Naylor, Viorela Ila, Donald G. Dansereau
Neural Radiance Fields (NeRFs) provide a high fidelity, continuous scene representation that can realistically represent complex behaviour of light. Despite works like Ref-NeRF imp…
LBurst: Learning-Based Robotic Burst Feature Extraction for 3D Reconstruction in Low Light
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Drones have revolutionized the fields of aerial imaging, mapping, and disaster recovery. However, the deployment of drones in low-light conditions is constrained by the image quali…
Adapting CNNs for Fisheye Cameras without Retraining
Ryan Griffiths, Donald G. Dansereau
The majority of image processing approaches assume images are in or can be rectified to a perspective projection. However, in many applications it is beneficial to use non conventi…