Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a distributed coding scheme for the representation of 3D scenes captured by a pair of omnidirectional cameras with equivalent computational resources and transmission capabilities. The images are captured at different viewpoints and are encoded independently. A joint decoder exploits the correlation beten images for improved decoding quality. The distributed coding is built on the multi-resolution representation of spherical images, whose information is split into two partitions. The encoder then transmits one partition after entropy coding, as ll as the syndrome bits resulting from the channel encoding of the other partition. The joint decoder exploits the intra-view correlation by predicting one partition from the other partition. At the same time, it exploits the inter-view correlation using block-based disparity estimation beten images from different cameras. Experiments demonstrate that the distributed coding solution performs better than a scheme where images are handled independently. Furthermore, the coding rate stays balanced beten the different cameras, which permits to avoid hierarchical relations beten vision sensors in camera networks.
['Vijayaraghavan Thirumalai', 'Ivana Tosic', 'Pascal Frossard']
I am writing a research paper on a idea Symmetric distributed coding of stereo omnidirectional images
[{"from": "human", "value": "I am writing a research paper on a idea Symmetric distributed coding of stereo omnidirectional images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a distributed coding scheme for the representation of 3D scenes captured by a pair of omnidirectional cameras with equivalent computational resources and transmission capabilities. The images are captured at different viewpoints and are encoded independently. A joint decoder exploits the correlation beten images for improved decoding quality. The distributed coding is built on the multi-resolution representation of spherical images, whose information is split into two partitions. The encoder then transmits one partition after entropy coding, as ll as the syndrome bits resulting from the channel encoding of the other partition. The joint decoder exploits the intra-view correlation by predicting one partition from the other partition. At the same time, it exploits the inter-view correlation using block-based disparity estimation beten images from different cameras. Experiments demonstrate that the distributed coding solution performs better than a scheme where images are handled independently. Furthermore, the coding rate stays balanced beten the different cameras, which permits to avoid hierarchical relations beten vision sensors in camera networks."}]