Today I read a paper titled “State-of-the Art Motion Estimation in the Context of 3D TV”
The abstract is:
Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction
The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter
Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying
Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV
SfM extraction can restore 3D shape information from a single camera data