Abstract

The Internet of Things is built based on various sensors and networks. Sensors for stereo capture are essential for acquiring information and have been applied in different fields. In this paper, we focus on the camera modeling and analysis, which is very important for stereo display and helps with viewing. We model two kinds of cameras, a parallel and a converged one, and analyze the difference between them in vertical and horizontal parallax. Even though different kinds of camera arrays are used in various applications and analyzed in the research work, there are few discussions on the comparison of them. Therefore, we make a detailed analysis about their performance over different shooting distances. From our analysis, we find that the threshold of shooting distance for converged cameras is 7 m. In addition, we design a camera array in our work that can be used as a parallel camera array, as well as a converged camera array and take some images and videos with it to identify the threshold.

Highlights

  • The Internet of Things (IoT) is the network of various physical objects embedded with sensors, electronics, software and network connectivity

  • Various sensors are the base of the realization of IoT, because they are the source of the data

  • We study converged stereo-images and find that if the shooting distance is less than 5 m, stereo images taken by the converged array have a good stereo sense; if it changes from 5 m to 7 m, the visual stereo perception decreases; if it is greater than 7 m, the converged camera array works almost the same as the parallel camera array

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Summary

Introduction

The Internet of Things (IoT) is the network of various physical objects embedded with sensors, electronics, software and network connectivity. The display of an actual 3D scene by parallel camera arrays is only taken outdoors, which is not sunk concavely [15,16]. As the base of the analysis, a parallel camera array model and a simplified converged camera array model are built. These experiments identify that the auto-converged camera array outperforms the parallel one if the shooting distance varies in a short-distance range. This is convenient for the different choices according to the real needs

Converged Camera Array Model
Parallel Camera Array Model
Model Analysis
Auto-Converged Camera Array Realization
Auto-Converged Experiment and Measure
Conclusions
Objective
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