A photogrammetric technique for generation of an accurate multispectral optical flow dataset-Reference-Cited by-同舟云学术

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A photogrammetric technique for generation of an accurate multispectral optical flow dataset

Published:2017-06-26 Issue: Volume: Page:
ISSN:0277-786X
Container-title:Videometrics, Range Imaging, and Applications XIV
language:
Short-container-title:

Author:

Kniaz V. V.¹

Affiliation:

1. GosNIIAS (Russian Federation)

Publisher

SPIE

Reference32 articles.

1. Performance of optical flow techniques

2. Synthetic sequences and ground-truth flow field generation for algorithm validation

3. Frame work for Generation of Synthetic Ground Truth Data for DriverAssistance Applications;Haltakov;GCPR,2013

4. Lessons and Insights from Creating a Synthetic Optical Flow Benchmark;Wulff,2012

5. A Naturalistic Open Source Movie for Optical Flow Evaluation;Butler;ECCV,2012

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1. REINFORCEMENT LEARNING FOR AUTONOMOUS 3D DATA RETRIEVAL USING A MOBILE ROBOT;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-30

2. FringeMatchNet: effective stereo matching onboard of mobile structured light 3D scanner;Optics for Arts, Architecture, and Archaeology VII;2019-07-12

3. Optical flow-based filtering for effective presentation of the enhanced vision on a HUD;Optics, Photonics, and Digital Technologies for Imaging Applications V;2018-05-24

4. Deep Learning of Convolutional Auto-Encoder for Image Matching and 3D Object Reconstruction in the Infrared Range;2017 IEEE International Conference on Computer Vision Workshops (ICCVW);2017-10

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