Search Results for author:
Found 7 papers, 3 papers with code
Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos
In this paper, we propose a novel approach for real-to-sim which tracks rigid objects in 3D from RGB-D images and infers physical properties of the objects.
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints
To the best of our knowledge, our approach is the first method to incorporate such physical plausibility constraints on object intersections for shape completion of dynamic objects in an energy minimization framework.
Where Does It End? -- Reasoning About Hidden Surfaces by Object Intersection Constraints
To the best of our knowledge, our approach is the first method to incorporate such physical plausibility constraints on object intersections for shape completion of dynamic objects in an energy minimization framework.
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
The majority of approaches for acquiring dense 3D environment maps with RGB-D cameras assumes static environments or rejects moving objects as outliers.
Light Field Intrinsics With a Deep Encoder-Decoder Network
We present a fully convolutional autoencoder for light fields, which jointly encodes stacks of horizontal and vertical epipolar plane images through a deep network of residual layers.
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry
We introduce a novel approach to jointly estimate consistent depth and normal maps from 4D light fields, with two main contributions.
