FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W567172221> ?p ?o ?g. }

• W567172221 abstract "In this thesis, we propose a method for estimating the parameters of a parametric bidirectional reflectance distribution function (BRDF) for an object surface. The method uses a novel Markov Random Field (MRF) formulation on triplets of corner vertex nodes to model the probability of sets of reflectance parameters for arbitrary reflectance models, given probabilistic surface geometry, camera, illumination, and reflectance image information. In this way, the BRDF parameter estimation problem is cast as a MRF parameter estimation problem. We also present a novel method for estimating the MRF parameters, which uses Population Monte Carlo (PMC) sampling to yield a posterior distribution over the parameters of the BRDF. This PMC based method for estimating the posterior distribution on MRF parameters is compared, using synthetic data, to other parameter estimation methods based on Markov Chain Monte Carlo (MCMC) and Levenberg-Marquardt nonlinear minimization, where it is found to have better results for convergence to the known correct synthetic data parameter sets than the MCMC based methods, and similar convergence results to the LM method. The posterior distributions on the parametric BRDFs for real surfaces, which are represented as evolved sample sets calculated using a Population Monte Carlo algorithm, can be used as features in other high-level vision material or surface classification methods. A variety of probabilistic distances between these features, including the Kullback-Leibler divergence, the Bhattacharyya distance and the Patrick-Fisher distance is used to test the classifiability of the materials, using the PMC evolved sample sets as features. In our experiments on real data, which comprises 48 material surfaces belonging to 12 classes of material, classification errors are counted by comparing the 1-nearest-neighbour classification results to the known (manually specified) material classes. Other classification error statistics such as WNN (worst nearest neighbour) are also calculated. The symmetric Kullback-Leibler divergence, used as a distance measure between the PMC Un ive rsi ty of C pe To wn" @default.
• W567172221 created "2016-06-24" @default.
• W567172221 creator A5016142009 @default.
• W567172221 date "2009-01-01" @default.
• W567172221 modified "2023-09-27" @default.
• W567172221 title "A Population Monte Carlo approach to estimating parametric Bidirectional Reflectance Distribution Functions through Markov Random Field parameter estimation" @default.
• W567172221 cites W107938046 @default.
• W567172221 cites W1184579189 @default.
• W567172221 cites W1484827 @default.
• W567172221 cites W1494645067 @default.
• W567172221 cites W1499344950 @default.
• W567172221 cites W1522975038 @default.
• W567172221 cites W1533614607 @default.
• W567172221 cites W1540596182 @default.
• W567172221 cites W1545898854 @default.
• W567172221 cites W1554544485 @default.
• W567172221 cites W1560512119 @default.
• W567172221 cites W1561041052 @default.
• W567172221 cites W1566052077 @default.
• W567172221 cites W1592969877 @default.
• W567172221 cites W1594874645 @default.
• W567172221 cites W1608402339 @default.
• W567172221 cites W1625599730 @default.
• W567172221 cites W1743960514 @default.
• W567172221 cites W186085407 @default.
• W567172221 cites W1874027545 @default.
• W567172221 cites W1902819383 @default.
• W567172221 cites W1909739044 @default.
• W567172221 cites W194306744 @default.
• W567172221 cites W1964909831 @default.
• W567172221 cites W1966322278 @default.
• W567172221 cites W1979969656 @default.
• W567172221 cites W1985093013 @default.
• W567172221 cites W1989222601 @default.
• W567172221 cites W1994338948 @default.
• W567172221 cites W2004047237 @default.
• W567172221 cites W2012712694 @default.
• W567172221 cites W2017691540 @default.
• W567172221 cites W2020278873 @default.
• W567172221 cites W2020999234 @default.
• W567172221 cites W2032409411 @default.
• W567172221 cites W2033819227 @default.
• W567172221 cites W2034469730 @default.
• W567172221 cites W2040692352 @default.
• W567172221 cites W2042587503 @default.
• W567172221 cites W2049902597 @default.
• W567172221 cites W2053476892 @default.
• W567172221 cites W2055600978 @default.
• W567172221 cites W2056760934 @default.
• W567172221 cites W2057003005 @default.
• W567172221 cites W2066303290 @default.
• W567172221 cites W2080246732 @default.
• W567172221 cites W2081462278 @default.
• W567172221 cites W2088616581 @default.
• W567172221 cites W2093117706 @default.
• W567172221 cites W2093881646 @default.
• W567172221 cites W2094673986 @default.
• W567172221 cites W2098613108 @default.
• W567172221 cites W2099478163 @default.
• W567172221 cites W2100470273 @default.
• W567172221 cites W2100905403 @default.
• W567172221 cites W2103559027 @default.
• W567172221 cites W2106131881 @default.
• W567172221 cites W2107422845 @default.
• W567172221 cites W2110370029 @default.
• W567172221 cites W2110575115 @default.
• W567172221 cites W2112421488 @default.
• W567172221 cites W2114220616 @default.
• W567172221 cites W2118020555 @default.
• W567172221 cites W2118304946 @default.
• W567172221 cites W2118502261 @default.
• W567172221 cites W2118841697 @default.
• W567172221 cites W2120448006 @default.
• W567172221 cites W2121407732 @default.
• W567172221 cites W2122471136 @default.
• W567172221 cites W2123779523 @default.
• W567172221 cites W2125101937 @default.
• W567172221 cites W2125831954 @default.
• W567172221 cites W2126247504 @default.
• W567172221 cites W2130435056 @default.
• W567172221 cites W2130479760 @default.
• W567172221 cites W2131598171 @default.
• W567172221 cites W2133420287 @default.
• W567172221 cites W2133962761 @default.
• W567172221 cites W2137017911 @default.
• W567172221 cites W2138309709 @default.
• W567172221 cites W2139598575 @default.
• W567172221 cites W2140151763 @default.
• W567172221 cites W2140789035 @default.
• W567172221 cites W2141332006 @default.
• W567172221 cites W2141930090 @default.
• W567172221 cites W2142074624 @default.
• W567172221 cites W2142714012 @default.
• W567172221 cites W2144736368 @default.
• W567172221 cites W2145092094 @default.
• W567172221 cites W2153120836 @default.
• W567172221 cites W2154847188 @default.
• W567172221 cites W2156531680 @default.
• W567172221 cites W2156642595 @default.
• W567172221 cites W2158122241 @default.

• next