Light fields are known for their potential in generating reconstructions of a scene from novel viewpoints without need for a model of the scene. Reconstruction of novel views, however, often leads to ghosting artefacts, which can be relieved by correcting for the depth of objects within the scene using disparity compensation. Unfortunately, reconstructions from the disparity information suffer from a lack of information on the orientation and smoothness of the underlying surfaces. In this paper, we propose a novel representation of the surfaces present within a scene using a planar patch approach. We discuss the process of estimating patches and introduce a reconstruction algorithm designed to exploit this patch information to produce visually superior reconstructions at higher resolutions. Experimental results demonstrate the effectiveness of this reconstruction technique when compared to traditional reconstruction methods.