Background: Medically, computed tomography and magnetic resonance imaging are the classic methods to describe the structure and morphology of the orbit, which is inapplicable in visual appearance assessment for aesthetics, facial expression analysis or psychophysical evaluation for convenient, rapid and portable reasons. Objective: to introduce a rapid, quantifiable, and reproducible method for the evaluation of vision appearance recognition of swollen eyes. Methods: About 2500 mesh vertices were extracted from the 3D facial information collected by 3D structured light scanner to establish the soft tissue key points set of the orbit (SKO). The data of 72 volunteers with or without swollen eyes (47 and 25 cases respectively) were used to establish the SKO regression equation for visual appearance judge (52 cases for modeling, 20 cases for external verification). Results: Linear regression to recognize swollen eyes based on SKO was established. The weight of the model was w = [47.85693945, 2.64343121, 79.23895416, −0.37536196], with an accuracy in test set of 90%. Conclusion: We proposed a quantitative method for visual appearance recognition of swollen eyes based on 3D information of eye-related key points. The quantitative evaluation based on SKO provides a rapid, quantifiable, and reproducible method to recognize swollen eyes for cosmetics, physical evaluation, or psychophysical evaluation.