Relative location for light field saliency detection

Abstract

Light field images, which capture multiple images from different angles of a scene, have been proved that can detect salient regions more effectively. Instead of estimating depth labels from light field images, we proposed to extract relative locations, which can distinguish whether the object is located before the focus plane of the main lens or not, for saliency detection. The relative locations are calculated by comparing raw light field images captured by plenoptic cameras and central views of scenes. The relative locations are then integrated to a modified saliency detection framework to obtain the salient regions. Experimental results demonstrate that the proposed relative locations can help to improve the accuracy of results, which is also efficient. Moreover, the modified framework outperforms the state-of-the-art methods for light field images saliency detection.