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We estimate dense, flicker-free, geometrically consistent depth
...During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.
...With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.
...It is fully-automatic --- takes two input images, and generates a registered image and (optionally) the deformation field.
More information (installation, tutorial, manual, demonstration, FAQ, etc) can be found at http://www.rad.upenn.edu/sbia/software/dramms/ .
A test suite and benchmark for exact Euclidean distance transform algorithms
used in Image Processing and computational geometry. It evaluates the
exactness and speed of algorithms for a large number of test
cases. Results can be visualized in Scilab.