A novel fringe projection profilometry based on one snapshot color sinusoidal fringe pattern is proposed. One color fringe pattern encoded with a sinusoidal fringe and two uniform intensity patterns is projected by a digital video projector and the deformed fringe pattern is recorded by a color charge coupled device (CCD) camera. The captured color fringe pattern is separated into its red, green, blue (RGB) components and division operation is applied to red and blue channels to reduce the effect of non-uniform reflectivity. Shape information of the tested object is decoded by applying an arcsine algorithm to the normalized fringe pattern. A simple technique is introduced to compensate for nonlinear intensity response of the digital video projector. The experimental results and the comparison with four-step phase-shifting method demonstrate the validity of the proposed method.