Slow Progress on Omnissr Refinement
After four months of work on refining an omnissr algorithm, researchers have made limited progress and are yet to find a solution for the hidden surface problem. A thickness buffer may help improve performance but its effectiveness remains uncertain.
Jan. 06, 2023 2:26AM
Generated in 20.9 seconds
A person sitting at a desk with their head in their hands looking frustrated by lack of progress on an omnissr project
After four months of hard work, researchers have made only limited progress in refining the omnissr algorithm. Despite the dedication of the team, the algorithm is still too slow to be of any practical use and does not solve the hidden surface problem. The researchers have suggested that using a thickness buffer may help improve its performance, but it remains to be seen if this will be effective. The development of an omnissr algorithm has been a goal for many years now, and while some progress has been made in recent months, it appears that more work needs to be done before any meaningful results can be achieved. Even if the thickness buffer solution proves successful, there is no guarantee that it will provide enough improvement to make the algorithm useful in real-world applications. The team behind this project remain optimistic about their chances of success, but until they can demonstrate tangible results it is difficult to share their enthusiasm. It appears that we are still some way off from seeing a fully functioning omnissr algorithm anytime soon.