Estimating deformation factors of planar patterns in spherical panoramic images

Kim, Bo-Sung; Park, Jong-Seung

doi:10.1007/s00530-016-0513-x

Cited by 2 publications

(2 citation statements)

References 33 publications

(34 reference statements)

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“…Therefore, the development of feature extraction and matching between panoramic images is very important for the natural transition of panoramic scenes. The work of Carufel and Laganiere [22] and Kim and Park [23] can be a further reference regarding the matching of panoramic images.…”

Section: Discussionmentioning

confidence: 99%

A Smooth Transition Algorithm for Adjacent Panoramic Viewpoints Using Matched Delaunay Triangular Patches

Zhao¹,

Hu²,

Tang³

et al. 2020

IJGI

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The unnatural panoramic image transition between two adjacent viewpoints reduces the immersion and interactive experiences of 360° panoramic walkthrough systems. In this paper, a dynamic panoramic image rendering and smooth transition algorithm for adjacent viewpoints is proposed. First, the feature points of adjacent view images are extracted, a robust matching algorithm is used to establish adjacent point pairs, and the matching triangles are formed by using the homonymous points. Then, a dynamic transition model is formed by the simultaneous linear transitions of shape and texture for each control triangle. Finally, the smooth transition between adjacent viewpoints is implemented by overlaying the dynamic transition model with the 360° panoramic walkthrough scene. Experimental results show that this method has obvious advantages in visual representation with distinct visual movement. It can realize the smooth transition between two indoor panoramic stations with arbitrary station spacing, and its execution efficiency is up to 50 frames per second. It effectively enhances the interactivity and immersion of 360° panoramic walkthrough systems.

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Section: Discussionmentioning

confidence: 99%

A Smooth Transition Algorithm for Adjacent Panoramic Viewpoints Using Matched Delaunay Triangular Patches

Zhao¹,

Hu²,

Tang³

et al. 2020

IJGI

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show abstract

“…In OpenGL ES, a sphere is stitched by a large number of tiny triangles. In consideration of the generation process of a spherical panoramic image (Hua, Ou, & Wang, ; Pagani & Stricker, ; Kim & Park, ), a graticule‐splitting method is introduced to construct the spherical skeleton.…”

Section: Spherical Lod Model Of 360° Panoramic Viewmentioning

confidence: 99%

An effective spherical panoramic LoD model for a mobile street view service

Xianxiong

et al. 2016

Transactions in GIS

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Street view (panoramic view) services have begun to shift from PC platforms to mobile smart devices. Considering the capabilities of smart terminal devices, a 3608 spherical level of detail (LoD) model for mobile street view services that renders panoramic images on the inner surface of a sphere via LoD is proposed in this article. Panoramic images are segmented into tiles and organized in a pyramid tile structure for LoD rendering to improve the rendering efficiency of the proposed model. A projection model between panoramic images and the spherical surface is presented to map the panoramic tiles on the spherical graticule. A street view-rendering algorithm of panoramic images is proposed with the rendering function of OpenGL for Embedded Systems (OpenGL ES).A street view service app running on Android, based on the proposed approach, is implemented to assess two aspects of the panoramic view model, namely visualization effect and efficiency. Experiment results reveal that the 3608 spherical LoD model of the panoramic image can display 3D street view scenes better than the cubic panoramic view model. The proposed model also has an excellent 3D visualization effect and high-efficiency rendering ability for mobile street view services.Therefore, it is applicable in large-scale mobile street view services both online and offline and in augmented reality navigation. K E Y W O R D S level of detail, mobile device, panoramic image, rendering, spherical, street view 1 | I NTR OD U CTI ON In the past, people expressed the real world abstractly through all types of maps, such as general, thematic, image, and 3D maps. In May 2007, in a collaboration with Stanford University called CityBlock, Google launched Google Street View (GSV) with 3608 panoramic images for the first time (Anguelov et al., 2010). The idea was to provide a street view of driving along every street in the world by taking pictures of all buildings and roadsides. At present, worldwide Transactions in GIS. 2017;21:897-915.wileyonlinelibrary.com/journal/tgis street view environments can be routinely captured with land-based mobile mapping systems (Li, Hu, & Chen, 2009;Anguelov et al., 2010). The extensive availability of street-level image data has proven the popularity of the street view environment among users; this environment delivers useful information that was not previously available. Street view (panoramic view) with a 3608 panoramic image has been and continues to be an exciting adventure in globalscale and street-level photo collection and service. As an online virtual imaging application, GSV allows a user to view and navigate through 3608 panoramic images and observe streets and neighborhoods virtually (Li et al., 2009;Fang, Li, & Zhang, 2011;Lewis, Fotheringham, & Winstanley, 2011). One can navigate forward and backward and then up and down as well as zoom in and out. Chinese Internet service providers, such as Tencent and Baidu, also recently launched panoramic view services in succession; these services can provide real 3D scenes for the exp...

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Estimating deformation factors of planar patterns in spherical panoramic images

Cited by 2 publications

References 33 publications

A Smooth Transition Algorithm for Adjacent Panoramic Viewpoints Using Matched Delaunay Triangular Patches

A Smooth Transition Algorithm for Adjacent Panoramic Viewpoints Using Matched Delaunay Triangular Patches

An effective spherical panoramic LoD model for a mobile street view service

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