Search Results for author: Jianchun Chen

Found 4 papers, 3 papers with code

Non-Rigid Point Set Registration Networks

1 code implementation2 Apr 2019 Lingjing Wang, Jianchun Chen, Xiang Li, Yi Fang

In contrast, the proposed point registration neural network (PR-Net) actively learns the registration pattern as a parametric function from a training dataset, consequently predict the desired geometric transformation to align a pair of point sets.

Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration

3 code implementations7 Jun 2019 Lingjing Wang, Xiang Li, Jianchun Chen, Yi Fang

In contrast to previous efforts (e. g. coherent point drift), CPD-Net can learn displacement field function to estimate geometric transformation from a training dataset, consequently, to predict the desired geometric transformation for the alignment of previously unseen pairs without any additional iterative optimization process.

Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration

1 code implementation NeurIPS 2019 Jianchun Chen, Lingjing Wang, Xiang Li, Yi Fang

To address this issue, we present an end-to-end trainable deep neural networks, named Arbitrary Continuous Geometric Transformation Networks (Arbicon-Net), to directly predict the dense displacement field for pairwise image alignment.

Image Registration

Robust Image Matching By Dynamic Feature Selection

no code implementations13 Aug 2020 Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang

Recent works introduce convolutional neural networks (CNNs) to extract high-level feature maps and find correspondences through feature matching.

Decision Making feature selection +1

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