Complexity / 2019 / Article / Alg 2

Research Article

Passive Initialization Method Based on Motion Characteristics for Monocular SLAM

Algorithm 2

Error reduction with subsequent BA.
Require: Frame I: Initialization Frame
Frame n: Subsequent Frame
: Feature points of Frame I
: Feature points of previous frames corresponding to
: Optimized rotation matrices of previous frames
: Optimized translation vectors of previous frames
: Initialized Map Points
Ensure: Map points and Initialization Evaluator .
Extract feature points of Frame n and match with to obtain matched feature points .
Optimize the Reprojection Error with Subsequent BA and thereby obtain optimized , , .
Calculate current evaluator value .
ifthen
Stop iteration, and return , , as initialization results.
ifis too big then
Stop iteration, and report failure of initialization.

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.