Optimized design of automatic image mosaic

Fu, Zhaoxia; Wei, Liming

doi:10.1007/s11042-013-1387-y

Cited by 11 publications

(2 citation statements)

References 11 publications

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“…This technique focuses on the initial use of remote sensing and photography. The method is more widely used in the field of photography, virtual reality, and video and image processing, and is very highly valued [26]. Panoramic images created from the method of stitching image collections with overlapping views can provide more effective information besides improving photo resolution as well as compressing information storage capacity [27].…”

Section: Discussionmentioning

confidence: 99%

Campus Virtual Tour Design to Enhance Visitor Experience and Interaction in a Natural Environment

Wook¹,

Zairon²,

Sahari@Ashaari³

et al. 2018

IJMA

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The natural forest and natural laboratory of the UKM campus are a part of nature that could be made into attractions for tourists and visitors, as they are abundant with natural resources, including scenic views, topography, as well as water features, plants, and heritage. The university has undertaken various efforts to share this information through portals and web pages. However, the method of information deliverydisplay and delivery of static text and graphics is not that effective. As a consequence, users or visitor are unable to interact or appreciate the experience of being in an natural environment. Therefore, this study has developed a campus virtual tour design to enhance interaction experience in natural environment through a low-fidelity interface design method, brainstorming, and virtual tour prototype development. The result of this study is a campus virtual tour design that can enhance the experience of benign, and utilisation of a natural environment.

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Section: Discussionmentioning

confidence: 99%

Campus Virtual Tour Design to Enhance Visitor Experience and Interaction in a Natural Environment

Wook¹,

Zairon²,

Sahari@Ashaari³

et al. 2018

IJMA

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show abstract

“…It keeps the points which comply with the models as inliers and discards the other points which fail to comply with the model as outliers. With the accurate matching points, the projective transformation matrix H pro [23] between two images f 1 and f 2 is as follows After the projective transformation matrix H pro is obtained, the overlapping region can be accurately calculated. Image blending is applied to smooth the overlapping regions and combine the images into a panoramic image.…”

Section: Image Registrationmentioning

confidence: 99%

A fast nursery plug tray images sequence mosaic technique

Tan

et al. 2018

International Journal of Agricultural and Biological Engineering

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A machine vision based system to estimate the nursery plug tray sowing quantity is necessary in the rice seedling nursery. Because the super hybrid rice is of small diameter, in order to obtain better estimation results of sowing quantity, only part of the tray scene is captured by machine vision system. Therefore, nursery tray image sequence mosaic algorithm is required so as to obtain the whole nursery tray sowing performance. In this paper, a fast nursery plug tray image mosaic technique based on Phase Correlation and Speeded up Robust Features (the PC-SURF) algorithm was introduced. To reduce huge computational complexity in feature extraction and avoid wrong match points from non-overlapping regions between two adjacent images, firstly the proposed method used Phase Correlation to approximately locate the overlapping regions between two sequential images so as to narrow down the processing area for further feature extraction. Then, the SURF algorithm was implemented in the overlapping region of the images to perform image registration and image blending. Image registration and blending were then performed using the RANSAC algorithm and transition smoothing method. Finally, sequential images were warped into a single frame to produce a panoramic tray image with high resolution and better quality. The test results showed that the PC-SURF algorithm greatly outperforms the SURF algorithm in point matching accuracy, time consumption, and image mosaic accuracy. The average feature point matching accuracy of the PC-SURF algorithm was improved by approximately 7.14%. The implementation time was almost three times faster. The Root Mean Squared Error (RMSE) of image blending in the R, G, B channels (RMSEr, RMSEg, and RMSEb) decreased by approximately 8.4%, 6.9%, 6.9% respectively. The RMSE of image registration RMSEreg decreased by 33.8%. In addition, the speed of the nursery tray image mosaic technology could meet the requirements for real-time implementation in super hybrid rice automated sowing machines.

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Review on image-stitching techniques

Wang

Yang

2020

Multimedia Systems

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Optimized design of automatic image mosaic

Cited by 11 publications

References 11 publications

Campus Virtual Tour Design to Enhance Visitor Experience and Interaction in a Natural Environment

Campus Virtual Tour Design to Enhance Visitor Experience and Interaction in a Natural Environment

A fast nursery plug tray images sequence mosaic technique

Review on image-stitching techniques

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