Company Filing History:
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Years Active: 2024-2025
Title: Dae-Young Song: Innovator in Deep Learning and Image Processing
Introduction
Dae-Young Song is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of image processing through his innovative methods and apparatuses. With a total of 2 patents, his work focuses on utilizing deep learning techniques to enhance image generation and stitching.
Latest Patents
Dae-Young Song's latest patents include a "Method and apparatus for generating panoramic image based on deep learning network." This invention outlines a comprehensive method for creating panoramic images by training a deep learning network with a dataset of K images. The process involves extracting various feature maps, estimating homographies, and generating multiple warped images to produce a seamless panoramic output.
Another notable patent is the "Deep learning-based image stitching method and apparatus." This invention describes a method for stitching images together by extracting feature maps, generating flow maps, and creating warped images. The final output is a stitched image that blends the input images effectively, showcasing the power of deep learning in image processing.
Career Highlights
Dae-Young Song has worked with esteemed organizations such as the Electronics and Telecommunications Research Institute and the Industry & Academic Cooperation in Chungnam National University. His experience in these institutions has allowed him to collaborate on various projects that push the boundaries of technology in image processing.
Collaborations
Throughout his career, Dae-Young has collaborated with notable colleagues, including Gi Mun Um and Hee Kyung Lee. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.
Conclusion
Dae-Young Song is a distinguished inventor whose work in deep learning and image processing has led to innovative solutions in generating and stitching images. His contributions continue to influence the field and inspire future advancements in technology.