6 citations · 10 across the 3 of their papers we have counts for
3 papers
Improving the matching of deformable objects by learning to detect keypoints
Felipe Cadar, Welerson Melo, Vaishnavi Kanagasabapathi +3
We propose a novel learned keypoint detection method to increase the number of correct matches for the task of non-rigid image correspondence. By leveraging true correspondences ac…
Feature point detection in HDR images based on coefficient of variation
Artur Santos Nascimento, Welerson Augusto Lino de Jesus Melo, Daniel Oliveira Dantas +1
Feature point (FP) detection is a fundamental step of many computer vision tasks. However, FP detectors are usually designed for low dynamic range (LDR) images. In scenes with extr…
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images
Welerson Melo, Guilherme Potje, Felipe Cadar +2
We present a novel learned keypoint detection method designed to maximize the number of correct matches for the task of non-rigid image correspondence. Our training framework uses…