Wendy Cahya Kurniawan

State University of Malang, National Taipei University of Technology

Papers

Total Citations

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About

Wendy Cahya Kurniawan is a researcher specializing in computer vision and applied machine learning, with a focus on enhancing real-world sensing and imaging technologies. Her major contributions lie in improving the robustness of QR code detection and advancing accessible 3D surface reconstruction. In her most-cited work, “An Improvement on QR Code Limit Angle Detection using Convolution Neural Network” (2019, 12 citations), she developed a CNN-based method to significantly boost QR code readability under extreme angles, directly benefiting industries like logistics, healthcare, and manufacturing where reliable information sharing is critical. Her subsequent research, “Development of Photogrammetry Application for 3D Surface Reconstruction” (2021, 2 citations), explores low-cost photogrammetry techniques for creating accurate 3D models from photographs, with promising applications in archaeology, medicine, and geology. By integrating laser-based methods, her work reduces the complexity and cost of 3D digitization. Though early in her career, Kurniawan’s contributions demonstrate a clear commitment to bridging the gap between advanced algorithms and practical, deployable solutions—making her a researcher to watch in the fields of image processing and 3D vision.