multi­view face image synthesis using factorization model

... thereby limiting choices for end users RenderMan Modeler Modeler Modeler RIB image RenderMan image RenderMan image Figure 2.3 RIB as an interface between modelers and renderers Pixar created PRMan ... - action! film director images via movie camera - geometry materials lights camera C CG artist images on canvas images using a renderer Figure 1.2 Three routes to image synthesis Think of how ... our surfaces on the image plane, we need to process them in such a way 20 Rendering for Beginners that surfaces that were in front of other surfaces correspondingly end up in front on the image...

Ngày tải lên: 04/06/2014, 11:16

... training image per subject ··· Bootstrap set Basis image construction for bootstrap set Basis image recovery for the training images using a statistical learning method Basis images recovery Test image ... manually establish the image correspondence between the test image and a mean face image at the frontal pose The frontal view image is then synthesized from the test image A face is identified for ... Building image correspondence and generating the frontal pose image Chosen subject Recognition Pose estimation Illumination estimation Synthesized test image Synthesis Figure 1: The proposed face synthesis...

Ngày tải lên: 22/06/2014, 19:20

... Chapter Statistical Surface Wavelets Model (SSWM) In this chapter, we introduce a novel statistical shape model The Statistical Surface Wavelet Model (SSWM) The main purpose of this model is to extend ... [6], inter-objects constraints [37] 2.3 Parametric models Different from the free-form models using representation in image space, parametric models capture the overall shape in a small number ... matching a model to an image data can be solved in a lower dimensional space Next, several existing parametric shape models will be reviewed 14 2.3 PARAMETRIC MODELS 2.3.1 ASM (Active Shape Model) ...

Ngày tải lên: 12/09/2015, 08:19

... medical image, where voxel is the basic element of volumetric image just like pixel of 2D image Hence, the size of medical image is usually very large Since extensive amounts of medical images ... MRA image B 112 6.13 Segmentation results of MRA image B using the fuzzy connectedness method [2] 112 6.14 Segmentation results of MRA image ... Segmentation results of MRA image B using the CGAC method 113 6.15 MIP of the MRA image C 114 6.16 Segmentation results of the 3D MRA image C using our CGAC method ...

Ngày tải lên: 15/09/2015, 22:16

... approximation using families of new interval wavelets • Algorithm for 2D image approximation using interval wavelets • Improved wedgelet analysis using multi-layered wedgelets • Hybrid wavelet-wedgelet image ... Multi-Spectral Data SPIHT Color Image Kahunen Loève Transform ∑ SPIHT Embedded Code SPIHT Figure 3.5: To code a color image using SPIHT, the color image is first spectrally decorrelated using KLT The resulting ... proposals for embedded color image coding We will also proposed our solution for color image coding using the SPIHT algorithm as a basis 3.3.1 Representation of Color Images According to the colorimetry...

Ngày tải lên: 16/09/2015, 08:31

... Single Image Input 13 2.1.2 Stereo Matching – Two Images Input 15 2.1.3 Multi-View scene reconstruction - Multiple Images Input 17 2.1.4 3D World Reconstruction from a large dataset 17 Image Refocusing ... occluded surface using texture synthesis Moreover, to deal with foreground and background transitions at pixel boundaries, the authors blend a foreground focused image with a background focused image ... blurry part of the image in order to recover an all-focused final image (in refocusing step) The output of this method is a coarse depth map, which is sufficient for the next refocusing phase in...

Ngày tải lên: 13/10/2015, 16:41

... a solution is found, the model display changes to show these dimensions modified to the new values You can either accept these new dimensions or undo the changes The model can be reverted to ... Create Click the Check button to finish The analysis feature CG is now in the model tree AXIS OF REVOLUTION A view of the model from the FRONT shows that Point located at CG is not located at the ... to see how changing a model will affect our design goals We select a given dimension to modify and describe the range through which it will move Pro/ENGINEER evaluates the model at intervals throughout...

Ngày tải lên: 12/12/2013, 12:15

... Image Processing Using MATLAB Working with Images in MATLAB www.techsource.com.my Section Outline: Image types • Index images • Intensity images • Binary images • RGB images Importing ... Sdn Bhd Image Processing Using MATLAB Working with Images in MATLAB www.techsource.com.my Converting Image Formats • • • • • – indexed image to intensity image – indexed image to RGB image (MATLAB) ... Working with Images in MATLAB www.techsource.com.my Displaying Images • imshow • image • imagesc - Display image - Create and display image object (MATLAB) - Scale data and display as image (MATLAB)...

Ngày tải lên: 23/12/2013, 03:16

Ngày tải lên: 23/12/2013, 03:16

... Introduction Image recovery constitutes a significant portion of the inverse problems in image processing Here, by image recovery we refer to two classes of problems, image restoration and image reconstruction ... and image reconstruction In image restoration, an estimate of the original image is obtained from a blurred and noise-corrupted image In image reconstruction, an image is generated from measurements ... nonseparable exponential covariance models are used in [46, 47, 48], and an autoregressive model in [38, 57] to model the original image, and parameterized blur models are discussed in [38] We want...

Ngày tải lên: 25/12/2013, 06:16

... matching rules, and an unlexicalized parsing model The BioLexicon system induces its SCF inventory automatically, but requires a lexicalized parsing model, rendering it more sensitive to domain ... SCF-specific multinomials These three multinomials are modeled with uniform Dirichlet priors and corresponding hyperparameters α, β and γ The model is trained via collapsed Gibbs sampling, where ... size >2 and

Ngày tải lên: 19/02/2014, 19:20

... %) Models D and G indicate domain-specific and generalized models, respectively and Model S indicates the dynamic model selection approach “G over D” shows how often Model G is selected over Model ... generalized model shows its strength in tagging data that differs from the training data The dynamic model selection approach (Model S) shows the most robust results across genres, although Models ... and unknown tokens, respectively Our individual models (Models D and G) give comparable results to the other systems Model G performs better than Model D for BC, CN, and MD, which are very different...

Ngày tải lên: 19/02/2014, 19:20

... person singular, would be modelled as B → s whereas a morpheme internal transition could be g → e We Probabilistic generative model Intuitively, we could say that our models describe the process ... better results than the individual models themselves We introduced two algorithms for word decomposition which are based on generative probabilistic models The models consider segment boundaries ... ROMODES contains a lower order model whereas P ROMODES -H is a novel development of P RO MODES with a higher order model For both algorithms, we defined the mathematical model and performed experiments...

Ngày tải lên: 20/02/2014, 04:20

... are unigram models of the surface diacritized form and the lexeme respectively, and contain lexical information We also build 4gram lexeme models using an open-vocabulary language model with Kneser-Ney ... (Stolcke, 2002) The model is trained on the same corpus used to train the other classifiers, ATB3-Train (We also tested other ngram models, and found that a 4-gram lexeme model outperforms the ... the trigram and 5-gram models was less than 0.01%.) The 4-gram model, on its own, correctly selects the lexeme of words in ATB3-DevTest 94.1% of the time The 4-gram lexeme model was incorporated...

Ngày tải lên: 20/02/2014, 09:20

... proposed model can be regarded as a spreading activation model with a specific update rule, as long as we are dealing with 2-class model (2-Ising model) However, there are some advantages in our modelling ... automatically selected Although our model can easily extended to a multi-state model, the effectiveness of using such a multi-state model has not been shown yet Our model uses only the tendency of ... statistical mechanics We can also extend our model to a multiclass model (Q-Ising model) Another interesting point is the relation to maximum entropy model (Berger et al., 1996), which is popular...

Ngày tải lên: 20/02/2014, 15:20

... in estimating very rich probabilistic models of context In this work, we present a model, the history-based grammar model, which incorporates a very rich model of context, and we describe a technique ... parameters for this model using decision trees The history-based grammar model provides a mechanism for taking advantage of contextual information from anywhere in the discourse history Using decision ... probability component (3) of the model For the moment, we are using n-gram models with the usual deleted interpolation for smoothing for the other four components of the model We have assigned bit...

Ngày tải lên: 20/02/2014, 21:20

... in chordwise direction and on one surface of models in which model B/D=1 labeled pressure positions from to 10, whereas model B/D=5 from to 19 Unsteady surface pressures were simultaneously measured ... around experimental models The bluff body flow patterns around three experimental models can be predicted as shown above in Figure (bluff-body flows on one surface are drawn) Surface pressure distribution ... 209-222 B/D=5 is typical for formation of separated and reattached flows on model surface The splitter plate was added to model B/D=1 to suppress effect of Karman vortex B/D=1 B/D=1 with S.P Wind...

Ngày tải lên: 05/03/2014, 14:20

... described earlier [18,19] Modelling performance As described above, the first step in our modelling procedure involved the assessment of annual average PM10 and NO2 concentrations, using a combination ... dispersion modelling Page of 11 approach, resulting in hourly average concentrations, is a refinement of this former modelling procedure An additional validation study of this refined modelling ... individual air pollution exposure at the home address using advanced state-of-theart methods By using a combination of GIS based dispersion modelling and continuous monitoring data, we were able...

Ngày tải lên: 06/03/2014, 19:20

... models have been considered: direct IBM1 and IBM2 models, and inverse IBM1-inv and IBM2-inv models with the inverse dictionary from Eq However, a more interesting set up than using language models ... morphological model and it can be approximated with hidden Markov models (HMM) The last term is an IMT model as described in (Barrachina et al., 2009) Finally, P r(d|ep , f ) is a constrained language model ... sentence i = |ep | + is kept, P r(d|f , i) can be modelled as a word-based 391 Both probabilities, P r(j|f , i) and P r(d|fj ), can be estimated using IBM models (Brown et al., 1993) The first term is...

Ngày tải lên: 07/03/2014, 22:20

... errors in the reconstructed image (“Lossy” image compression) 3.2.3 Application to image compression The basic idea behind this method of compression is to treat a digital image as an array of numbers ... pixel For example, in the case of a 256x256 pixel gray scale image, the image is stored as a 256x256 matrix, with each 55 Image compression using the Haar Wavelet element of the matrix being a whole ... the compressed image) Image compression using the Haar Wavelet 57 Using wavelet transformation and inverse wavelet transformation, we have lost some of the detail in the image but it would not...

Ngày tải lên: 14/03/2014, 13:20