2013 journal article

Efficient and robust model fitting with unknown noise scale

Image and Vision Computing, 31(10), 735–747.

By: S. Heinrich

Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Maximum likelihood autocalibration

IMAGE AND VISION COMPUTING, 29(10), 653–665.

By: S. Heinrich n, W. Snyder n & J. Frahm*

author keywords: Autocalibration; Self-calibration; Maximum likelihood; Absolute dual quadric; Structure from motion
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
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.

By: K. Krish n, S. Heinrich n, W. Snyder n, H. Cakir n & S. Khorram n

author keywords: Image registration; Feature matching; Accumulator-based methods; Feature correspondence; Evidence accumulation
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
Sources: Web Of Science, Crossref
Added: August 6, 2018

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