Smart display: A mobile self-adaptive projector-camera system

Yang, Tien-Ju; Tsai, Yi-Min; Chen, Liang-Gee

doi:10.1109/icme.2011.6011988

Cited by 4 publications

(2 citation statements)

References 11 publications

(10 reference statements)

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“…The proposed framework can be used to determine the quality of a projection system by projecting a uniquely coded Structured Light Pattern (SLP) defined in [19]. The uniqueness of the coded pattern allows FSIM and NDb_SIFT to compare the same features with each other and thus result in an appropriate assessment of geometric quality.…”

Section: Quality Assessment Of Projection Systemmentioning

confidence: 99%

Quality Assessment of Images Projected Using Multiple Projectors

2015

KSII TIIS

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Multiple projectors with partially overlapping regions can be used to project a seamless image on a large projection surface. With the advent of high-resolution photography, such systems are gaining popularity. Experts set up such projection systems by subjectively identifying the types of errors induced by the system in the projected images and rectifying them by optimizing (correcting) the parameters associated with the system. This requires substantial time and effort, thus making it difficult to set up such systems. Moreover, comparing the performance of different multi-projector display (MPD) systems becomes difficult because of the subjective nature of evaluation. In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system. We have divided the quality assessment into geometric and photometric qualities. For geometric quality assessment, we use Feature Similarity Index (FSIM) and distance-based Scale Invariant Feature Transform (SIFT). For photometric quality assessment, we propose to use a measure incorporating Spectral Angle Mapper (SAM), Intensity Magnitude Ratio (IMR) and Perceptual Color Difference (ΔE). We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected by them.

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Section: Quality Assessment Of Projection Systemmentioning

confidence: 99%

Quality Assessment of Images Projected Using Multiple Projectors

2015

KSII TIIS

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“…Though automatic focusing [4][5][6] and keystone correction techniques [7] [8] are well-studied, projectors capable of automatic focusing and keystone correction are much more expensive than manual projectors. On the other hand, mobile projector platforms are also needed in smart display applications [9] where automatic correction is required. In the market, some high-end automatic projectors utilize time-of-flight (TOF) laser focusing technology combined with cameras and algorithms to achieve fast and seamless automatic focusing.…”

Section: Introductionmentioning

confidence: 99%

P‐18.2: Relative Localization for Real‐time Adaptive Quadruped Mobile Projector System

Gao,

Cheng,

et al. 2024

Symp Digest of Tech Papers

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The technology of home projectors has matured significantly. However, most projectors are limited to static manual projectors, and projectors capable of automatic focusing and keystone correction are expensive. Furthermore, there is still room for development in the adaptability and real‐time performance of the screen distance and spatial angle measurement systems that projectors use for automatic focusing and keystone correction. Compared with the existing laser focusing technology, in this research, we present an alternative solution to acquire real‐time screen distance and spatial angle estimations using relative localization algorithms and an ultrasonic ranging sensor array. The relative localization information can then be employed for automatic focusing and keystone correction of a projector mounted on the mobile platform of an open‐source quadruped robot. The proposed approach will enhance the versatility and adaptability of the projector system, providing an economical solution for real‐time automatic focusing and keystone correction in mobile projector platforms.

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Literature Review of Augmented Reality Application in the Architecture, Engineering, and Construction Industry With Relation to Building Information

Tabrizi

Sanguinetti

2018

Encyclopedia of Information Science and Technology, Fourth Edition

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The rapid development and adoption of AR applications, creates numerous opportunities for integrating AR with BIM and improving conventional methods used in the fields of architecture, engineering and construction (AEC). In this paper, the current trends in the development of AR applications and the application of AR technologies in the fields of AEC are proposed. Also the relation between AR application and BIM in the AEC industry with the benefits of this integration and possible issues is discussed. The related examples of BIM+AR are described during the literature review. The authors believe the papers presented in this document, cover the latest research trends and developments in the use of AR and its' combination with BIM for AEC applications. In the future, it is expected that AR applications will be further utilized in the AEC field to enhance productivity, safety and efficiency.

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Smart display: A mobile self-adaptive projector-camera system

Cited by 4 publications

References 11 publications

Quality Assessment of Images Projected Using Multiple Projectors

Quality Assessment of Images Projected Using Multiple Projectors

P‐18.2: Relative Localization for Real‐time Adaptive Quadruped Mobile Projector System

Literature Review of Augmented Reality Application in the Architecture, Engineering, and Construction Industry With Relation to Building Information

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