Search Results for author:
Found 7 papers, 0 papers with code
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo
We propose a method for dense three-dimensional surface reconstruction that leverages the strengths of shape-based approaches, by imposing regularization that respects the geometry of the surface, and the strength of depth-map-based stereo, by avoiding costly computation of surface topology.
Multi-View Feature Engineering and Learning
We frame the problem of local representation of imaging data as the computation of minimal sufficient statistics that are invariant to nuisance variability induced by viewpoint and illumination.
Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects
We introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity.
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search
We introduce an asymmetric sparse approximate embedding optimized for fast kernel comparison operations arising in large-scale visual search.
Second-Order Shape Optimization for Geometric Inverse Problems in Vision
We develop a method for optimization in shape spaces, i. e., sets of surfaces modulo re-parametrization.
On the Design and Analysis of Multiple View Descriptors
We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views.
CLAM: Coupled Localization and Mapping with Efficient Outlier Handling
We describe a method to efficiently generate a model (map) of small-scale objects from video.
