A method of constructing 3-D model of a human face by integrating multiple range images that were measured at different view directions is presented in this paper. The images were obtained by a high-speed rangefinder system, which is capable of measuring the frontal face and capturing a texture image in approximately one second. A complete face model construction is thus performed by measuring the face in different orientations and integrating corresponding range maps using a least square estimator. Range image integration is carried out in two ways. First by direct application of the least squares estimator to range values and next by applying it to corresponding texture index values. A Sobel filter is applied to the intensity images to extract feature boundaries for the estimator. Both methods prove high accuracy returns and the average error of integration have been estimated to be below 1.3 mm.