A unified panoramic stitching and multi-projector rendering scheme for immersive panoramic displays

Saeed, Saleh; Hafiz, Rehan; Rasul, Ashar; Khan, Muhammad Murtaza; Cho, Yongju; Park, Unsang; Cha, Jaehyuk

doi:10.1016/j.displa.2015.06.002

Cited by 7 publications

(8 citation statements)

References 19 publications

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“…}, where is the number of cameras and is the frame number. We use the geometric alignment parameters to create lookup tables (LUTs) [13], [48] = { | = 1, . . }…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The semi-automatic stitching process was replaced by a fully automated algorithm [8], [9], [10] with the use of scale invariant features [8], [11]. Improvements in reliability of a fully automated stitching system paved way for very large-scale multi-camera, multidisplay panoramic stitching [12] and rendering systems [13], [14], [15], [16], [17], [18]. Further advancements in software and hardware resulted in production of portable devices such as smart phones and handheld cameras which can create very high-quality panoramic images in real-time [19].…”

Section: Related Workmentioning

confidence: 99%

“…Further advancements in software and hardware resulted in production of portable devices such as smart phones and handheld cameras which can create very high-quality panoramic images in real-time [19]. A typical fully automated stitching algorithm [10], [13], [20], [21], [22], [23] uses rectilinear lenses to capture multiple overlapping images and estimates homographic relationship between them. The homography between these images is used to warp each image into its relative position on a planar, cylindrical or spherical canvas, with seams blended in such a way that the result-ant image appears to be a seamless mosaic having fieldof-view larger than each individual camera's field-of-view.…”

Section: Related Workmentioning

confidence: 99%

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A High-Quality VR Calibration and Real-Time Stitching Framework Using Preprocessed Features

et al. 2020

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Virtual Reality (VR) contents comprise 360°×180° seamless panoramic videos, stitched from multiple overlapping video streams. A recent increase in demand of VR content has resulted in the supply of commercially available solutions which, though cheap, lack scalability and quality. In this paper, we propose an end-to-end VR system for stitching full spherical contents. The VR system is composed of camera rig calibration and stitching modules. The calibration module performs geometric alignment of camera rig. The stitching module transforms texture from camera or video stream into VR stream using lookup tables (LUTs) and blend masks (BMs). In this work, our main contribution is improvement of stitching quality. First, we propose a feature preprocessing method that filters out inconsistent, error-prone features. Secondly, we propose a geometric alignment method that outperforms state-of-the-art VR stitching solutions. We tested our system on diverse image sets and obtained state-of-the-art geometric alignment. Moreover, we achieved real-time stitching of camera and video streams up to 120 fps at 4K resolution. After stitching, we encode VR content for IP multicasting.

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“…}, where is the number of cameras and is the frame number. We use the geometric alignment parameters to create lookup tables (LUTs) [13], [48] = { | = 1, . . }…”

Section: Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A High-Quality VR Calibration and Real-Time Stitching Framework Using Preprocessed Features

et al. 2020

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“…Keypoint based image representation methods have shown their effectiveness for image search, registration and 2D to 3D reconstruction tasks [1]- [4]. One of the most successful and well-known keypoint-based image search approaches is the Scale Invariant Feature Transform (SIFT).…”

Section: Introductionmentioning

confidence: 99%

Keypoint Detection Using Higher Order Laplacian of Gaussian

et al. 2020

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This paper presents a keypoint detection method based on the Laplacian of Gaussian (LoG). In contrast to the Difference of Gaussian (DoG)-based keypoint detection method used in Scale Invariant Feature Transform (SIFT), we focus on the LoG operator and its higher order derivatives. We provide mathematical analogies between higher order DoG (HDoG) and higher order LoG (HLoG) and experimental results to show the effectiveness of the proposed HLoG-based keypoint detection method. The performance of the HLoG is evaluated with four different tests: i) a repeatability test of the keypoints detected across images under various transformations, ii) image retrieval, iii) panorama stitching and iv) 3D reconstruction. The proposed HLoG method provides comparable performance to HDoG and the combination of HLoG and HDoG provides significant improvements in various keypoint-related computer vision problems.

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“…The most important steps in the creation process of panoramic display technology are the determination of display form, then the production, and finally the display media display the finished works [6]. But there is not only one choice whether it is the form of display, the way of production or the medium of display, but the relative research on the advantages, disadvantages and characteristics of various choices is relatively few for the time being.…”

Section: Introductionmentioning

confidence: 99%

The Comparison and Analysis of Several Common VR Panoramic Display Methods

Chen¹,

Luo²

2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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With the development of information technology, VR panoramic display technology has been widely used in medical industry, game industry, entertainment industry and other industries. VR panoramic display technology has a very broad development prospect. In this paper, the characteristics of several VR panoramic display methods are analyzed, and the methods of panoramic display are compared in three directions: display form, production method and display media. According to the characteristics of panoramic display technology, several aspects are summarized and evaluated, and the advantages and disadvantages of various methods are analyzed.

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A unified panoramic stitching and multi-projector rendering scheme for immersive panoramic displays

Cited by 7 publications

References 19 publications

A High-Quality VR Calibration and Real-Time Stitching Framework Using Preprocessed Features

A High-Quality VR Calibration and Real-Time Stitching Framework Using Preprocessed Features

Keypoint Detection Using Higher Order Laplacian of Gaussian

The Comparison and Analysis of Several Common VR Panoramic Display Methods

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