miguelalgaba Goto Github PK

cuda_dummy

Just a dummy CUDA project with CMake

dummyprojecttesting

Dummy project for C++ and CMake testing

dummyprojecttestingexercise

This is just a dummy project to practice on how to set a CMake / C++ / Jenkins project

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

git-branching-model-exercise

This is a basic exercise to learn about the Git branching model

gitignore

A collection of useful .gitignore templates

halide_dummy

Dummy repository to explore a bit Halide

homebrew

The missing package manager for OS X.

itk

Insight Segmentation and Registration Toolkit -- Mirror

itkeigensolvertraits

An ITK external repository containing a new solver traits to allow using solvers provided by the Eigen library

kinectslam6d

Simultaneous Localization and Mapping with 6DoF using the Kinect sensor (GraphSLAM)

momentsopencv

opencv

Open Source Computer Vision Library

openmvg-test

orb_bug

photoconsistency-visual-odometry

Multiscale Photoconsistency Visual Odometry from RGBD Images

saddle_detector

A novel similarity-covariant feature detector that extracts points whose neighborhoods, when treated as a 3D intensity surface, have a saddle-like intensity profile. The saddle condition is verified efficiently by intensity comparisons on two concentric rings that must have exactly two dark-to-bright and two bright-to-dark transitions satisfying certain geometric constraints. Saddle is a fast approximation of Hessian detector as ORB detector is for Harris detector. Experiments show that the Saddle features are general, evenly spread and appearing in high density in a range of images. The Saddle detector is among the fastest proposed. In comparison with detector with similar speed, the Saddle features show superior matching performance on number of challenging datasets.

specs

The CocoaPods Master Repo

virtualcameravtk

Simple VTK project to take virtual photos from a mesh and output the 3D coordinates of some selected points and their corresponding 2D projections.