Literature DB >> 27409179

Realistic limits for subpixel movement detection.

David Mas, Jorge Perez, Belen Ferrer, Julian Espinosa.   

Abstract

Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides optimal performance at relatively low cost. Although there are many theoretical proposals that lead to resolution increments of several orders of magnitude, in practice this resolution is limited by the imaging systems. In this paper we propose and demonstrate through simple numerical models a realistic limit for subpixel accuracy. The final result is that maximum achievable resolution enhancement is connected with the dynamic range of the image, i.e., the detection limit is 1/2<sup>∧</sup>(nr.bits). The results here presented may aid in proper design of superresolution experiments in microscopy, surveillance, defense, and other fields.

Year:  2016        PMID: 27409179     DOI: 10.1364/AO.55.004974

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

Review 1.  A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments.

Authors:  Yizhou Zhuang; Weimin Chen; Tao Jin; Bin Chen; He Zhang; Wen Zhang
Journal:  Sensors (Basel)       Date:  2022-05-16       Impact factor: 3.847

2.  Parametric Evaluation of Errors Using Isolated Dots for Movement Measurement by Image Cross-Correlation.

Authors:  Belen Ferrer; David Mas
Journal:  Sensors (Basel)       Date:  2018-02-09       Impact factor: 3.576

  2 in total

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