  A key factor in designing 3D systems is to understand how different visual
cues and distortions affect the perceptual quality of 3D video. The ultimate
way to assess video quality is through subjective tests. However, subjective
evaluation is time consuming, expensive, and in most cases not even possible.
An alternative solution is objective quality metrics, which attempt to model
the Human Visual System (HVS) in order to assess the perceptual quality. The
potential of 3D technology to significantly improve the immersiveness of video
content has been hampered by the difficulty of objectively assessing Quality of
Experience (QoE). A no-reference (NR) objective 3D quality metric, which could
help determine capturing parameters and improve playback perceptual quality,
would be welcomed by camera and display manufactures. Network providers would
embrace a full-reference (FR) 3D quality metric, as they could use it to ensure
efficient QoE-based resource management during compression and Quality of
Service (QoS) during transmission.
