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

Bibliographic Data

ID22032640
AuthorsPengcheng Zhao (0000-0003-0024-6898, Wuhan University), Qingwu Hu (0000-0003-0866-6678, Wuhan University), Zhixiong Tang (0000-0003-4070-9471, Wuhan University), Mingyao Ai (0000-0001-5300-4409, Wuhan University, corresponding author)
Year2020
Volume9
Issue10
Pages596
Publication date2020-10-10
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9100596
OpenAlexW3092060545
LanguageEN
Citations received1
References cited16

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

Algorithm · Computer vision · Delaunay triangulation · Physics · Software walkthrough · Viewpoints · Advanced Image and Video Retrieval Techniques · Advanced Vision and Imaging · Computer Science · Mathematics · Robotics and Sensor-Based Localization · Artificial Intelligence

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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