In modern vehicles bird's view systems are widely used to show the direct car surroundings to the driver. However, state-of-the-art methods for bird's view computations suffer from heavy distortions and unnatural warping. We propose an approach towards perspectively correct bird's view images for vehicular applications. Our method uses stereo images as input and is tested using stereo datasets.