Correcting methods for efficient multiview video coding and improved display quality

多视点视频包括从场景中捕获3D信息，允许3D电视和自由视点电视等令人兴奋的应用，同时通过大大提高物体识别和跟踪的准确性，为监视和检查增加了另一个维度。校准大量摄像机是困难的，这导致不同视角之间在亮度、色彩、对比度和焦点方面存在显著的不一致。这些不一致在多视图系统中造成了许多问题，从观看者在不同视点之间切换时令人不快的可见不匹配到压缩、渲染和跟踪效率的降低。我们的研究目标是开发数字预处理方法来纠正多视点视频集的不一致性，从而提高视频编码性能和3D显示质量。具体内容包括:

Multiview video involves capturing 3D information from a scene, allowing exciting applications such as 3D TV and free viewpoint TV, while adding another dimension to surveillance and inspection by greatly increasing the accuracy of object recognition and tracking. Calibrating a large number of cameras is difficult, resulting in significant inconsistencies in brightness, colour, contrast and focus between the different views. These inconsistencies pose a number of problems in multiview systems, ranging from unpleasant visible mismatches for the viewers as they switch between different viewpoints to decreased efficiency in compression, rendering and tracking. The objective of our research is to develop digital pre-processing methods for correcting inconsistencies in multiview video sets, thus improving video coding performance and 3D display quality. Specifics include: