Search Results for author: Lan Hu

Found 6 papers, 0 papers with code

Online Stability Improvement of Groebner Basis Solvers using Deep Learning

no code implementations17 Jan 2024 Wanting Xu, Lan Hu, Manolis C. Tsakiris, Laurent Kneip

Over the past decade, the Gr\"obner basis theory and automatic solver generation have lead to a large number of solutions to geometric vision problems.

Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database

no code implementations4 Jul 2022 Jiaxin Wei, Lan Hu, Chenyu Wang, Laurent Kneip

We present a new solution to the fine-grained retrieval of clean CAD models from a large-scale database in order to recover detailed object shape geometries for RGBD scans.

Re-Ranking Retrieval

Globally optimal point set registration by joint symmetry plane fitting

no code implementations19 Feb 2020 Lan Hu, Haomin Shi, Laurent Kneip

The present work proposes a solution to the challenging problem of registering two partial point sets of the same object with very limited overlap.

3D Reconstruction

Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors

no code implementations23 Jul 2019 Lan Hu, Wanting Xu, Kun Huang, Laurent Kneip

In an effort to increase the capabilities of SLAM systems and produce object-level representations, the community increasingly investigates the imposition of higher-level priors into the estimation process.

Object

Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations

no code implementations11 Oct 2018 Lan Hu, Yuchen Cao, Peng Wu, Laurent Kneip

Most problems involving simultaneous localization and mapping can nowadays be solved using one of two fundamentally different approaches.

Object Reconstruction Simultaneous Localization and Mapping

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