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Progressive Batching for Efficient Non-linear Least Squares
Non-linear least squares solvers are used across a broad range of offlin...
10/21/2020 ∙ by Huu Le, et al. ∙
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Large Scale Photometric Bundle Adjustment
Direct methods have shown promise on visual odometry and SLAM, leading t...
08/26/2020 ∙ by Oliver J. Woodford, et al. ∙
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Y-Autoencoders: disentangling latent representations via sequential-encoding
In the last few years there have been important advancements in generati...
07/25/2019 ∙ by Massimiliano Patacchiola, et al. ∙
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Improved RANSAC performance using simple, iterative minimal-set solvers
RANSAC is a popular technique for estimating model parameters in the pre...
07/08/2010 ∙ by Edward Rosten, et al. ∙
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Automatic creation of urban velocity fields from aerial video
In this paper, we present a system for modelling vehicle motion in an ur...
12/07/2009 ∙ by Edward Rosten, et al. ∙
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Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction
We present BEAMER: a new spatially exploitative approach to learning obj...
07/24/2009 ∙ by Damian Eads, et al. ∙
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Camera distortion self-calibration using the plumb-line constraint and minimal Hough entropy
In this paper we present a simple and robust method for self-correction ...
10/24/2008 ∙ by Edward Rosten, et al. ∙
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Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how lik...
10/14/2008 ∙ by Edward Rosten, et al. ∙
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