Work

Semi-dense visual odometry for AR on a smartphone

Year: 2014

Type: conference-paper

Source: Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR

DOI: 10.1109/ismar.2014.6948420

Authors: Thomas Schops, Jakob Engel, Daniel Cremers

Institution: Technical University of Munich

Language: English

Topic: Robotics and Sensor-Based Localization

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2013503831

FWCI: 12.74

Cites: 23

Cited by: 164

Related to: 10