Project for the EL7008 Advanced Image Processing course, Spring 2020, at the Faculty of Mathematical and Physical Sciences of the Universidad de Chile.

Producing Ground Truth Depth Maps with Dynamic Programming for stereo images Python.

A ROS Node for finding Stereo Depth and 3D Reconstruction

Splits a stacked JPEG image file (LIF and MPO formats) into individual discrete JPEG files.

Conversion of 360 stereo images from equirectangular to cube maps using CUDA and OpenMp

Deep learning based pseudo stereo image generation demo using Intel(r) Distribution of OpenVINO(tm) toolkit

Stereoscopic photo/video montage software

Simple VR180 image (format) converter (e.g. equidistant → equirectangular, rotation calibration)

C++ implementation of PatchMatch Stereo for images

"Stereo Panoramic Player" UE5 plugin demo

Implementation of "Toward 3D Object Reconstruction from Stereo Images" (Xie et al., Neurocomputing 2021)

ROS node to create pointcloud out of stereo images from the KITTI Vision Benchmark Suite

Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

🏠[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding

Compute disparity map from stereo image with semi global matching algorithm.

Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019