PPT-Fast GPU Histogram Analysis for Scene Post-Processing

Andy Luedke Halo Development Team Microsoft Game Studios Why do Histogram Analysis Dynamically adjust postprocessing settings based on rendered scene content Drive tone adjustments by discovering intensity levels and adjusting . merlcom Integral Histogram A Fast Way to Extract Histograms in Cartesian Spaces Fatih Porikli TR2005057 June 2005 Abstract We present a novel method which we refer as an integral histogram to compute the histograms of all possible target regions in a 19 . – . Recognition 2. Identity. Age. Attractiveness. Grammar. Emotions. Human. face. Gender. Face Recognition Difficulties. Identify similar faces . (inter-class similarity). Accommodate . intra-class variability. Histograms. Histogram Equalization. Histogram equalization is a powerful point processing enhancement technique that seeks to optimize the contrast of an image at all points. . As the name suggests, histogram equalization seeks to improve image contrast by flattening, or equalizing, the histogram of an image. . Pitam. Chandra. Central Institute of Agricultural Engineering. Bhopal. . Oct. 05, 2013. FARMER. Agricultural Produce. . Self Consumption & Marketing. Storage, Processing & Trade. Yin “David” Yang .  . Zhenjie. Zhang. .  . Gerome . Miklau. . Prev. . Session: Marianne . Winslett. .  . Xiaokui Xiao. 1. What we talked in the last session. Privacy is a major concern in data publishing. Maysam Mousaviraad, Tao . Xing and Fred Stern. IIHR—Hydroscience & Engineering. C. Maxwell Stanley Hydraulics Laboratory. The University of Iowa. ME:5160 . Intermediate Mechanics of Fluids. http://css.engineering.uiowa.edu/~me_160/. Professor: Yun Q. Shi. Su Yu. 1. 2/02/2011. Contents. Introduction. Applications. Methods. Histogram Pair. Optimum Histogram Pair. Conclusion. Simulation. Contents. Introduction. Applications. Methods. Maysam Mousaviraad, Tao . Xing and Fred Stern. IIHR—Hydroscience & Engineering. C. Maxwell Stanley Hydraulics Laboratory. The University of Iowa. ME:5160 . Intermediate Mechanics of Fluids. http://css.engineering.uiowa.edu/~me_160/. Fast Filtering. Problems in Computer Vision. Computer Vision in One Slide. 1) Extract some features from some images . 2) Use these to formulate some . (hopefully linear) constraints. 3) Solve a . system of . Fast Filtering Continued. Filtering by . Resampling. This looks like we just zoomed a small image. Can we filter by . downsampling. then . upsampling. ?. Filtering by Resampling. Filtering by Resampling. The relevant features for the examination task are enhanced. The irrelevant features for the examination task are removed/reduced. Here the input and output image are both digital image in color or gray scale.. From EddyPro to Tovi : Dave Johnson Senior Product Manager Introduction ▪ LI - COR is in the business of innovation. We work closely with our research partners to understand their needs, applyin From EddyPro to Tovi : Dave Johnson Senior Product Manager Introduction ▪ LI - COR is in the business of innovation. We work closely with our research partners to understand their needs, applyin with . GLOBK. T. A. Herring M. A. . Floyd R. . W. King. Massachusetts Institute of Technology, Cambridge, MA, USA. UNAVCO Headquarters, Boulder, Colorado, USA. 19–23 June 2017. http://. web.mit.edu.