Dear dev, One or the other might be interested in this: This year's Summer of Code has two projects under 'OpenCV' that deal with HDR/RGBE:
http://www.google-melange.com/gsoc/projects/list/google/gsoc2013 - High Dynamic Range imaging The goal of the project is to add full HDR support to openCV. This includes loading HDR images from popular formats to floating-point matrices, supporting various tone-mapping techniques and implementing HDR image creation from a set of bracketed images times with different enhancements including camera calibration and single-shot HDR images. - Photometric calibration for imaging devices This project aims at developing a library for photometric calibration of imaging devices.Specifically, I would like to implement functions for the radiometric response calibration, vignetting calibration, noise level estimation, and the point spread function estimation, which are essential for computer vision algorithms dealing with photometric information (i.e. color constancy, High-dynamic range images, inverse rendering). Also for the Pythonistas amongst you: - OpenCV-Python Tutorials 1 - Develop a new tutorials for OpenCV-Python API covering a major portion of the API (Similar to the existing C++ tutorials). 2 - Extend Python bindings for the newly added modules and any missing functionalities. 3 - Fix discovered bugs, missing docs etc on the way. I messed with Python OpenCV just over a year ago, and got stuck because the Python API is poorly documented. Also because I didn't know what I was doing, but I won't mention this here... Cheers Axel _______________________________________________ Radiance-dev mailing list [email protected] http://www.radiance-online.org/mailman/listinfo/radiance-dev
