PPT-Color Matching of Image Sequences with Combined Gamma and L

Yingen Xiong and Kari Pulli Download our panorama software httpstoreovicomcontent51491 Outline Introduction What is the problem Why do we need color correction Related work. Background Image courtesy of Dr. Bill Moore, Dept. of Radiology, Stony Brook Hospital. http://www.colin-studholme.net/research/ipag/mrdspect/mrspect3.html. http://www.mwit.ac.th/~Physicslab/applet_04/atom2/Alphae.gif. Then . an array . of pixel values (colors) . The number . of elements . in this array is . width times height. Colors . can be . noted as. Indexed. . (looked up from a table) . or . True . Color. . Opening in the lens. Aperture. f-number or stop. = focal length/Aperture diameter. Each stop represents either half or double the amount of light exposing the film or chip. The circle of confusion is defined as the largest blur spot that is indistinguishable from the point source that is being rendered. . John Hable. Naughty Dog. Agenda. Gamma/Linear-Space Lighting. Filmic Tonemapping. SSAO. Rendering Architecture/How it all fits together.. Skeletons in the Closet. Used to work for EA Black Box (Vancouver). CSE 190 [Spring 2015]. , Lecture . 2. Ravi Ramamoorthi. http://. www.cs.ucsd.edu. /~. ravir. Course Outline. 3D Graphics Pipeline. Rendering. (Creating, shading images from geometry, lighting, materials). Color is a psychophysical concept depending both upon the spectral distribution of the radiant energy of the illumination source and the visual sensations perceived by the viewer. Color perception depends mainly upon the physics of light and the physiology of the visual system, which results in the following psychological color sensations:. Given:. A query image. A database of images with known locations. Two types of approaches:. Direct matching. : directly match image features to 3D points (high memory requirement). Retrieval based. : retrieve a short list of most similar images and perform image matching. Point by Point by Point. Taxonomy. Images can be represented in two domains. Spatial Domain: Represents light intensity at locations in space. Frequency Domain: Represents frequency amplitudes across a spectrum. What determines the brightness of an image pixel?. Light source. properties. Surface . shape and orientation. Surface reflectance. properties. Optics. Sensor characteristics. Slide by L. Fei-Fei. Exposure. Network to Compare Image Patches. Jure . Zbontar. , Yann . LeCun. Background. Motivation. Problem Formulation. Methodology. Training Data. Suggested Net Architectures. Sequential Steps. Results. Conclusion. Principle Component Analysis. (PCA. ). . Jiali. . zhang. , . X. iaohong. . Liu . MS Statistics Student. SAN JOSE STATE UNIVERSITY . 12/10/2015. T. he . D. efinition of Image . ch. 7) &. Image Matching (. ch. 13). ch.. 7 and . ch.. 13 of . Machine Vision. by Wesley E. Snyder & . Hairong. Qi. Mathematical Morphology. The study of shape…. Using Set Theory. Most easily understood for binary images.. Proteins. DNA. RNA. Genetics and evolution. The . S. equence . M. atching Problem. RNA Sequence Matching. Complexity of the Algorithms. DEFINITION. Computational Biology encompasses all computational methods and theories applicable to molecular biology and areas of computer based techniques for solving biological problems.. Specific vs. Generic Search Instructions. James Dyar and Aaron Gluck. . . . . . Methodology. Introduction. Results. Discussion. Conclusion. They Did Not Expect Him. Ilya Repin. 1884-1888....