Works (3)
Updated: July 5th, 2023 15:49
2013 journal article
Efficient and robust model fitting with unknown noise scale
Image and Vision Computing, 31(10), 735–747.
Source: NC State University Libraries
Added: August 6, 2018
2011 article
Maximum likelihood autocalibration
Heinrich, S. B., Snyder, W. E., & Frahm, J.-M. (2011, July 25). Image and Vision Computing.
author keywords: Autocalibration; Self-calibration; Maximum likelihood; Absolute dual quadric; Structure from motion
topics (OpenAlex): Advanced Vision and Imaging; Optical measurement and interference techniques; Robotics and Sensor-Based Localization
TL;DR:
This paper proposes a maximum likelihood objective and shows that it can be implemented robustly and efficiently and often provides substantially greater accuracy, especially when there are fewer views or greater noise.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
Global registration of overlapping images using accumulative image features
Pattern Recognition Letters, 31(2), 112–118.
author keywords: Image registration; Feature matching; Accumulator-based methods; Feature correspondence; Evidence accumulation
topics (OpenAlex): Image and Object Detection Techniques; Advanced Image and Video Retrieval Techniques; Image Retrieval and Classification Techniques
TL;DR:
A new feature-based image registration technique which registers images by finding rotation- and scale-invariant features and matching them using a novel feature matching algorithm based on an evidence accumulation process reminiscent of the generalized Hough transform is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, Crossref
Added: August 6, 2018