3D Reconstruction and camera pose from video sequence using multi-dimensional descent
This paper aims to propose a novel and simple method for estimating 3D-point reconstruction and camera motion. Given a video sequence of a target object with a few feature-points tracked, the points' 3D-coordinates can be reconstructed along with the estimation of the camera's position and...
Saved in:
Main Authors: | Chouvatut,V., Madarasmi,S., Tüceryan,M. |
---|---|
Format: | Article |
Published: |
Springer Verlag
2015
|
Subjects: | |
Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77951128832&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38579 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Face reconstruction and camera pose using Multi-dimensional descent
by: Chouvatut,V., et al.
Published: (2015) -
3D face and motion estimation from sparse points using adaptive bracketed minimization
by: Chouvatut,V., et al.
Published: (2015) -
Field Test Validations of Vision-based Multi-camera Multi-drone Tracking and 3D Localizing with Concurrent Camera Pose Estimation
by: Sie, NJ, et al.
Published: (2022) -
Colorimetric analyzer based on mobile phone camera for determination of available phosphorus in soil
by: Moonrungsee,N., et al.
Published: (2015) -
Unsupervised 3D pose transfer with cross consistency and dual reconstruction
by: Song, Chaoyue, et al.
Published: (2023)