Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering

• URL: http://arxiv.org/abs/2408.05402v1
• Date: Sat, 10 Aug 2024 01:40:57 GMT
• Title: Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering
• Authors: Fan Zhang, Ziyue Ji, Weiguang Kang, Weiqing Li, Zhiyong Su,
• Abstract summary: We propose the first mesh deformation-based reconstruction framework for recovering high-precision 3D full-frame eyeglasses models from a single RGB image. Experimental results on both the synthetic dataset and real images demonstrate the effectiveness of the proposed algorithm.
• Score: 6.693246356011004
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: With the support of Virtual Reality (VR) and Augmented Reality (AR) technologies, the 3D virtual eyeglasses try-on application is well on its way to becoming a new trending solution that offers a "try on" option to select the perfect pair of eyeglasses at the comfort of your own home. Reconstructing eyeglasses frames from a single image with traditional depth and image-based methods is extremely difficult due to their unique characteristics such as lack of sufficient texture features, thin elements, and severe self-occlusions. In this paper, we propose the first mesh deformation-based reconstruction framework for recovering high-precision 3D full-frame eyeglasses models from a single RGB image, leveraging prior and domain-specific knowledge. Specifically, based on the construction of a synthetic eyeglasses frame dataset, we first define a class-specific eyeglasses frame template with pre-defined keypoints. Then, given an input eyeglasses frame image with thin structure and few texture features, we design a keypoint detector and refiner to detect predefined keypoints in a coarse-to-fine manner to estimate the camera pose accurately. After that, using differentiable rendering, we propose a novel optimization approach for producing correct geometry by progressively performing free-form deformation (FFD) on the template mesh. We define a series of loss functions to enforce consistency between the rendered result and the corresponding RGB input, utilizing constraints from inherent structure, silhouettes, keypoints, per-pixel shading information, and so on. Experimental results on both the synthetic dataset and real images demonstrate the effectiveness of the proposed algorithm.

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