물체 표면에 광택을 가진 이미지를 활용한 3D 재구성 연구 = A 3D Reconstruction Study Using A Glossy Image On the Surface of An Object

다국어 초록 (Multilingual Abstract)

Image-based modeling and rendering technology is characterized by its low cost, high efficiency, and simple operation compared to other modeling methods, but it still has certain limitations. Image-based modeling and rendering techniques, also known as image modeling, are the task of taking tens or hundreds of photographs and then reconstructing a 3D model of a subject with a related software processing system using mathematical methods. However, during the reconstruction process, if a portion of the object is too glossy on the surface, a mirror reflection phenomenon will exist. When a digital camera photographs the surface of a high-gloss object obscured by mirror reflection, the original color and texture information of the digital image is lost, which may result in a deviation in the model in reconstruction operations that image.Thus, addressing the effects of glossiness on information on the surface of objects in digital images in an effective manner has significance in the field of image modeling. This paper studied the principle of image modeling technology. After measuring the glossiness of an object using a gloss meter, a reconstruction experiment was conducted to confirm the effect of the glossiness of the object on the image modeling technology. For image modeling, the data were referenced and various methods of removing gloss information were compared through experiments.We also present a method for restoring and identifying reflected light points (highlights) on the surface of a high-gloss object using the gray scale information of the image. This method can significantly improve the reconstruction effect of high-gloss objects in certain environments, and the results of the experiment show that the reconstructed image after the highlight was restored increased by 14% compared to the pre-restored image.