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ogsdave's Projects

3d-r2n2 icon 3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

a-loam icon a-loam

Advanced implementation of LOAM

aab icon aab

Robust Camera Location Estimation Using "All-About-that-Base" Statistics

acmh icon acmh

A simple yet effective PatchMatch MVS method, which is the base model of ACMM and ACMP.

acmm icon acmm

Multi-Scale Geometric Consistency Guided Multi-View Stereo

acmmp icon acmmp

Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo

acmp icon acmp

Planar Prior Assisted PatchMatch Multi-View Stereo

adelaidepth icon adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

adept-2 icon adept-2

Combined array and automatic differentiation library in C++

aerial_mapper icon aerial_mapper

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

alggeompoly icon alggeompoly

Examples on how to solve polynomial equations using algebraic geometry

alpine-mpich icon alpine-mpich

Docker image of Alpine Linux with MPICH installed. Automated builds are located on Docker Hub https://hub.docker.com/r/nlknguyen/alpine-mpich/

apolloscape-sfm icon apolloscape-sfm

C++ Structure from Motion (SfM) pipeline with OpenGL visualization for Apolloscape Dataset

appa icon appa

GUI for TheiaSfM multiview geometry and structure from motion library.

approxmvbb icon approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

asker icon asker

Code for the paper "A Graduated Filter Method for Large Scale Robust Estimation", CVPR2020

asw icon asw

An open-source attempt at a GPU-accelerated Adaptive Support Weight stereo matching algorithm

autodiff icon autodiff

automatic differentiation made easier for C++

automaticdifferentiation icon automaticdifferentiation

Automatic Differentiation by using of a Functor class and its operator overload, which can calculate higher-order differentiation, such as Hessian.

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