PROJECT TITLE :

Fast Depth Video Compression for Mobile RGB-D Sensors

ABSTRACT:

We have a tendency to propose a replacement method, referred to as 3-D image warping-based mostly depth video compression (IW-DVC), for fast and economical compression of depth pictures captured by mobile RGB-D sensors. The emergence of low-cost RGB-D sensors has created opportunities to search out new solutions for a range of pc vision and networked robotics issues, like three-D map building, immersive telepresence, or remote sensing. But, efficient transmission and storage of depth knowledge still presents a difficult task to the research community in these applications. Image/video compression has been comprehensively studied and several strategies have already been developed. However, these ways end in unacceptably suboptimal outcomes when applied to the depth images. We tend to have designed the IW-DVC methodology to use the special properties of the depth data to attain a high compression ratio whereas preserving the quality of the captured depth pictures. Our solution combines the egomotion estimation and 3-D image warping techniques and includes a lossless coding theme that is capable of adapting to depth data with a high dynamic vary. IW-DVC operates at a high speed, suitable for real-time applications, and is in a position to achieve an enhanced motion compensation accuracy compared with the standard approaches. Additionally, it removes the prevailing redundant data between the depth frames to further increase compression efficiency. Our experiments show that IW-DVC attains a very high performance yielding important compression ratios while not sacrificing image quality.