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Found 8 papers, 3 papers with code
Camera Calibration without Camera Access -- A Robust Validation Technique for Extended PnP Methods
The first question is how to find the projection model that describes the camera, and the second is to detect incorrect models.
Self-supervised learning of object pose estimation using keypoint prediction
We designed a network to generate a proxy ground-truth heatmap from a set of keypoints distributed all over the category-specific mean shape, where each is represented by a unique color on a labeled texture.
Registration Loss Learning for Deep Probabilistic Point Set Registration
This is possible as the probabilistic registration is fully differentiable, and the result is a learning framework that is truly end-to-end.
Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion
This paper revisits the problem of continuous-time structure from motion, and introduces a number of extensions that improve convergence and efficiency.
Spline Error Weighting for Robust Visual-Inertial Fusion
In this paper we derive and test a probability-based weighting that can balance residuals of different types in spline fitting.
Density Adaptive Point Set Registration
Contrary to previous works, we model the underlying structure of the scene as a latent probability distribution, and thereby induce invariance to point set density changes.
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation
In this paper we introduce an efficient method to unwrap multi-frequency phase estimates for time-of-flight ranging.
