51 citations · 51 across the 8 of their papers we have counts for
5 papers · 1 filter
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
Laurent Chauvin, William Wells, Matthew Toews
This paper proposes to extend local image features in 3D to include invariance to discrete symmetry including inversion of spatial axes and image contrast. A binary feature sign $s…
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo +4
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric…
Curating Subject ID Labels using Keypoint Signatures
Laurent Chauvin, Matthew Toews
Subject ID labels are unique, anonymized codes that can be used to group all images of a subject while maintaining anonymity. ID errors may be inadvertently introduced manually err…
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
L. Chauvin, M. Ben Lazreg, J. B. Carluer +2
We propose a unified appearance model accounting for traditional shallow (i.e. 3D SIFT keypoints) and deep (i.e. CNN output layers) image feature representations, encoding respecti…
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
Kuldeep Kumar, Laurent Chauvin, Mathew Toews +2
So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, o…