نتایج جستجو برای: Coded Target Design

تعداد نتایج: 1344279  

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2021

Abstract. Coded targets are physical optical markers that can be easily identified in an image. Their detection is a critical step the process of camera calibration. A wide range coded was developed to date. The differ their decoding algorithms. main limitation existing methods low robustness new backgrounds and illumination conditions. Modern deep learning recognition-based algorithms demonstr...

2016
X. Guo Y. Chen C. Wang M. Cheng C. Wen J. Yu

In order to perform precise identification and location of artificial coded targets in natural scenes, a novel design of circle-based coded target and the corresponding coarse-fine extraction algorithm are presented. The designed target separates the target box and coding box totally and owns an advantage of rotation invariance. Based on the original target, templates are prepared by three geom...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده زبانهای خارجی 1392

the extent to which written corrective feedback on linguistic errors can play a role in helping l2 writers improve the accuracy of their writing continues to be an issue of interest to researchers and teachers since truscott (1996) mounted a case for its abolition. while there is growing empirical evidence that written corrective feedback can successfully target some types of linguistic error (...

2014
Huadong Meng Yimin Wei Xuhua Gong Yimin Liu Xiqin Wang

We address the problem of radar phase-coded waveform design for extended target recognition in the presence of colored Gaussian disturbance. Phase-coded waveforms are selected since they can fully exploit the transmit power with sufficient variability. An important constraint, target detection performance, is considered to meet the practical requirements. The waveform is designed to achieve max...

Journal: :IEEE Transactions on Communications 2020

2007
Arlene Ripsman Piotr Jasiobedzki Michael Jenkin

A key challenge facing computer vision systems is the presence of highly specular surfaces. Such surfaces present a challenge to conventional vision systems due to their reflective nature, which can mask the true structure of the surface and lead to incorrect measurements when traditional computer vision algorithms are used. Here we present a novel approach to reconstructing the local surface s...

Journal: :IEEE Transactions on Communications 2019

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