Article: SynthBendText3D: a framework for generating scene text data in arbitrary orientations using a 3D graphics engine Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.1 pp.38 - 54 Abstract: To address the domain distribution mismatch between synthetic scene text data and real-world scene text data in arbitrary orientations, we introduce SynthBendText3D - a framework based on a 3D graphics engine that synthesises scene text data in various orientations. The framework generates a large number of text instances in arbitrary directions and constructs a 3D scene to position these instances. By leveraging domain randomisation techniques, it randomises scene parameters such as object arrangement, materials, lighting, and camera angles, ensuring a high degree of diversity in the synthesised data. Moreover, the framework incorporates a polygon reconstruction algorithm to annotate each synthesised text instance with polygonal bounding boxes. Experimental results demonstrate the effectiveness of the data generated by our framework. Inderscience Publishers - linking academia, business and industry through research

Title: SynthBendText3D: a framework for generating scene text data in arbitrary orientations using a 3D graphics engine

Authors: Zhao Guan; Weilong Zhang

Addresses: School of Cyberspace Security and Computer, Hebei University, Baoding – 071000, China ' School of Cyberspace Security and Computer, Hebei University, Baoding – 071000, China

Abstract: To address the domain distribution mismatch between synthetic scene text data and real-world scene text data in arbitrary orientations, we introduce SynthBendText3D - a framework based on a 3D graphics engine that synthesises scene text data in various orientations. The framework generates a large number of text instances in arbitrary directions and constructs a 3D scene to position these instances. By leveraging domain randomisation techniques, it randomises scene parameters such as object arrangement, materials, lighting, and camera angles, ensuring a high degree of diversity in the synthesised data. Moreover, the framework incorporates a polygon reconstruction algorithm to annotate each synthesised text instance with polygonal bounding boxes. Experimental results demonstrate the effectiveness of the data generated by our framework.

Keywords: scene text detection; synthetic data; domain randomisation; domain adaption.

DOI: 10.1504/IJICT.2025.144017

International Journal of Information and Communication Technology, 2025 Vol.26 No.1, pp.38 - 54

Received: 08 Oct 2024
Accepted: 24 Oct 2024
Published online: 20 Jan 2025 *

Title: SynthBendText3D: a framework for generating scene text data in arbitrary orientations using a 3D graphics engine

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