Sign inSign up

icra2018/correlation-flow

By icra2018

•Updated almost 8 years ago

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

Image
0

1.0K

icra2018/correlation-flow repository overview

⁠Correlation Flow

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators

	Velocity Estimation in 3-D space $v_x, v_y, v_z, \omega_z$

This repo contains source codes for the following paper, which is accepted by ICRA-18:

Chen Wang⁠ *, Tete Ji *, Thien-Minh Nguyen, and Lihua Xie⁠, "Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators", IEEE International Conference on Robotics and Automation (ICRA), 2018.

⁠Requirements

⁠Usage

docker pull icra2018/correlation-flow
xhost +
./docker_run.sh

where docker_run.sh is this script:

#!/bin/sh
XAUTH=/tmp/.docker.xauth
if [ ! -f $XAUTH ]
then
    xauth_list=$(xauth nlist :0 | sed -e 's/^..../ffff/')
    if [ ! -z "$xauth_list" ]
    then
        echo $xauth_list | xauth -f $XAUTH nmerge -
    else
        touch $XAUTH
    fi
    chmod a+r $XAUTH
fi

docker run --rm \
    --env="DISPLAY" \
    --env="QT_X11_NO_MITSHM=1" \
    --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
    -env="XAUTHORITY=$XAUTH" \
    --volume="$XAUTH:$XAUTH" \
    --runtime=nvidia \
    -p 8888:8888 \
    --volume="/Data/EuRoC_MAV_Dataset:/EuRoC_MAV_Dataset:ro" \
    icra2018/vins-mono

Open in a web browser: http://localhost:8888/lab/tree/README.ipynb⁠

Tag summary

Content type

Image

Digest

Size

786.2 MB

Last updated

almost 8 years ago

docker pull icra2018/correlation-flow