Improved-PSMNet: Combining PSM, group-wise corr, dilatedResNet, segmentation to estimate accurate disparity of stereo image pairs efficiently.

This software pipeline can detect and track apples in real-time in an orchard, while effectively dealing with cases of apple occlusion. Apples are detected and segmented using a deep learning based approach and are tracked in world coordinate frame using Extended Kalman Filter

Pytorch version of SfmLearner from Tinghui Zhou et al.

depth map computation

A monocular depth estimation demo with point cloud viewer

In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of obje…

Bounding Box Matching using YOLOv4, implemented in Tensorflow and LabVIEW

Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

3D reconstruction based on stereo event-camera data, 2020SoSe, TU Berlin

Attention-based View Selection Networks for Light-field Disparity Estimation

simplified struct2depth in PyTorch

Implementation of Convolutional Neural Network for Scene Flow Estimation

Horizontal (rowwise) correlation for pytorch tensors with gradients.

Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)

Keras code of my ICRA 2018 paper "Fast Disparity Estimation using Dense Networks"

planar fitting computation using stereo vision techniques