Search Results for author:
Found 8 papers, 3 papers with code
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.
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.
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.
