Towards a Descriptive Depth Index for 3d Content: Measuring Perspective Depth Cues

3D quality of experience (QoE) in nature is a multidimensional problem and involves many factors that contribute to the global quality rating such as image quality, depth perception and visual discomfort. One important aspect for the development and evaluation of 3D processing techniques is the selection of appropriate 3D content. To this aim it is necessary to develop computational methods that can automatically measure the 3D characteristics of a scene, similar to the spatial and temporal information indices commonly used for assessing 2D content. The presented work is one step in the development of such a depth index (DI) which will target the evaluation of the depth-related characteristics of 3D video sequences. The paper focuses on the linear perspective as one of the major monocular depth cues. It compares two distinct approaches for measuring the strength of perspective depth cues and analyzes their limits on a 2D image dataset with associated subjective ratings.