This paper introduces a new device for measuring spatial reflectance distributions of surfaces and presents a simple and accurate mathematical model for anisotropic reflectance. The device, an imaging gonioreflectometer, uses imaging technology to capture the entire hemisphere of reflected directions simultaneously, significantly accelerating the data gathering process. The reflectance model is based on a Gaussian distribution with physically meaningful parameters, allowing for efficient data reduction and reproduction. The validity of the model is validated through comparisons with complete measurements of surface reflectance functions gathered using the novel device. The paper also discusses the limitations of the current implementation and suggests improvements for measuring grazing angles and smoother materials. Additionally, it explores the application of the model in computer graphics, demonstrating its effectiveness in rendering anisotropic surfaces using a hybrid deterministic and stochastic ray tracing technique. The results show that the model accurately reproduces the reflectance properties of various materials, including varnished wood and unfinished metals.This paper introduces a new device for measuring spatial reflectance distributions of surfaces and presents a simple and accurate mathematical model for anisotropic reflectance. The device, an imaging gonioreflectometer, uses imaging technology to capture the entire hemisphere of reflected directions simultaneously, significantly accelerating the data gathering process. The reflectance model is based on a Gaussian distribution with physically meaningful parameters, allowing for efficient data reduction and reproduction. The validity of the model is validated through comparisons with complete measurements of surface reflectance functions gathered using the novel device. The paper also discusses the limitations of the current implementation and suggests improvements for measuring grazing angles and smoother materials. Additionally, it explores the application of the model in computer graphics, demonstrating its effectiveness in rendering anisotropic surfaces using a hybrid deterministic and stochastic ray tracing technique. The results show that the model accurately reproduces the reflectance properties of various materials, including varnished wood and unfinished metals.