Jonathan Astermark
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View article: Dense Match Summarization for Faster Two-view Estimation
Dense Match Summarization for Faster Two-view Estimation Open
In this paper, we speed up robust two-view relative pose from dense correspondences. Previous work has shown that dense matchers can significantly improve both accuracy and robustness in the resulting pose. However, the large number of mat…
View article: Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
Synthesizing Training Data for Object Detection Using Generative Adversarial Networks Open
Object detection is an important tool in computer vision and a popular application of machine learning. One of the main challenges in object detection, and machine learning in general, is acquiring sufficient training data. Many types of d…