Facial image morphing by self-organizing feature maps

[[abstract]]We propose a new facial image morphing algorithm based on the Kohonen self-organizing feature map (SOM) algorithm to generate a smooth 2D transformation that reflects anchor point correspondences. Using only a 2D face image and a small number of anchor points, we show that the proposed morphing algorithm provides a powerful mechanism for processing facial expressions.[[conferencetype]]國際[[conferencedate]]19990710~19990716[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Washington, DC, US

Image Warping Among Arbitrary Planar Shapes

Image warping refers to the 2D resampling of a source image onto a target image. Despite the variety of techniques proposed, a large class of image warping problems remains inadequately solved: mapping between two images which are delimited by arbitrary, closed, planar curves, e.g., hand-drawn curves. This paper describes a novel algorithm to perform image warping among arbitrary planar shapes whose boundary correspondences are known. A generalized polar coordinate parameterization is introduced to facilitate an efficient mapping procedure. Images are treated as collections of interior layers, extracted via a thinning process. Mapping these layers between the source and target images generates the 2D resampling grid that defines the warping. The thinning operation extends the standard polar coordinate representation to deal with arbitrary shapes

Two-Dimensional Gel Electrophoresis Image Registration Using Block-Matching Techniques and Deformation Models

[Abstract] Block-matching techniques have been widely used in the task of estimating displacement in medical images, and they represent the best approach in scenes with deformable structures such as tissues, fluids, and gels. In this article, a new iterative block-matching technique—based on successive deformation, search, fitting, filtering, and interpolation stages—is proposed to measure elastic displacements in two-dimensional polyacrylamide gel electrophoresis (2D–PAGE) images. The proposed technique uses different deformation models in the task of correlating proteins in real 2D electrophoresis gel images, obtaining an accuracy of 96.6% and improving the results obtained with other techniques. This technique represents a general solution, being easy to adapt to different 2D deformable cases and providing an experimental reference for block-matching algorithms.Galicia. Consellería de Economía e Industria; 10MDS014CTGalicia. Consellería de Economía e Industria; 10SIN105004PRInstituto de Salud Carlos III; PI13/0028

The Megamaser Cosmology Project: IV. A Direct Measurement of the Hubble Constant from UGC 3789

In Papers I and II from the Megamaser Cosmology Project (MCP), we reported initial observations of water masers in an accretion disk of a supermassive black hole at the center of the galaxy UGC 3789, which gave an angular-diameter distance to the galaxy and an estimate of Ho with 16% uncertainty. We have since conducted more VLBI observations of the spatial-velocity structure of these water masers, as well as continued monitoring of its spectrum to better measure maser accelerations. These more extensive observations, combined with improved modeling of the masers in the accretion disk of the central supermassive black hole, confirm our previous results, but with signifcantly improved accuracy. We find Ho = 68.9 +/- 7.1 km/s/Mpc; this estimate of Ho is independent of other methods and is accurate to +/-10%, including sources of systematic error. This places UGC 3789 at a distance of 49.6 +/- 5.1 Mpc, with a central supermassive black hole of (1.16 +/- 0.12) x 10^7 Msun.Comment: to appear in Ap

Vectorizing Face Images by Interpreting Shape and Texture Computations

The correspondence problem in computer vision is basically a matching task between two or more sets of features. In this paper, we introduce a vectorized image representation, which is a feature-based representation where correspondence has been established with respect to a reference image. This representation has two components: (1) shape, or (x, y) feature locations, and (2) texture, defined as the image grey levels mapped onto the standard reference image. This paper explores an automatic technique for "vectorizing" face images. Our face vectorizer alternates back and forth between computation steps for shape and texture, and a key idea is to structure the two computations so that each one uses the output of the other. A hierarchical coarse-to-fine implementation is discussed, and applications are presented to the problems of facial feature detection and registration of two arbitrary faces

Bending invariant correspondence matching on 3D models with feature descriptor.

Li, Sai Man.Thesis (M.Phil.)--Chinese University of Hong Kong, 2010.Includes bibliographical references (leaves 91-96).Abstracts in English and Chinese.Abstract --- p.2List of Figures --- p.6Acknowledgement --- p.10Chapter Chapter 1 --- Introduction --- p.11Chapter 1.1 --- Problem definition --- p.11Chapter 1.2. --- Proposed algorithm --- p.12Chapter 1.3. --- Main features --- p.14Chapter Chapter 2 --- Literature Review --- p.16Chapter 2.1 --- Local Feature Matching techniques --- p.16Chapter 2.2. --- Global Iterative alignment techniques --- p.19Chapter 2.3 --- Other Approaches --- p.20Chapter Chapter 3 --- Correspondence Matching --- p.21Chapter 3.1 --- Fundamental Techniques --- p.24Chapter 3.1.1 --- Geodesic Distance Approximation --- p.24Chapter 3.1.1.1 --- Dijkstra ´ةs algorithm --- p.25Chapter 3.1.1.2 --- Wavefront Propagation --- p.26Chapter 3.1.2 --- Farthest Point Sampling --- p.27Chapter 3.1.3 --- Curvature Estimation --- p.29Chapter 3.1.4 --- Radial Basis Function (RBF) --- p.32Chapter 3.1.5 --- Multi-dimensional Scaling (MDS) --- p.35Chapter 3.1.5.1 --- Classical MDS --- p.35Chapter 3.1.5.2 --- Fast MDS --- p.38Chapter 3.2 --- Matching Processes --- p.40Chapter 3.2.1 --- Posture Alignment --- p.42Chapter 3.2.1.1 --- Sign Flip Correction --- p.43Chapter 3.2.1.2 --- Input model Alignment --- p.49Chapter 3.2.2 --- Surface Fitting --- p.52Chapter 3.2.2.1 --- Optimizing Surface Fitness --- p.54Chapter 3.2.2.2 --- Optimizing Surface Smoothness --- p.56Chapter 3.2.3 --- Feature Matching Refinement --- p.59Chapter 3.2.3.1 --- Feature descriptor --- p.61Chapter 3.2.3.3 --- Feature Descriptor matching --- p.63Chapter Chapter 4 --- Experimental Result --- p.66Chapter 4.1 --- Result of the Fundamental Techniques --- p.66Chapter 4.1.1 --- Geodesic Distance Approximation --- p.67Chapter 4.1.2 --- Farthest Point Sampling (FPS) --- p.67Chapter 4.1.3 --- Radial Basis Function (RBF) --- p.69Chapter 4.1.4 --- Curvature Estimation --- p.70Chapter 4.1.5 --- Multi-Dimensional Scaling (MDS) --- p.71Chapter 4.2 --- Result of the Core Matching Processes --- p.73Chapter 4.2.1 --- Posture Alignment Step --- p.73Chapter 4.2.2 --- Surface Fitting Step --- p.78Chapter 4.2.3 --- Feature Matching Refinement --- p.82Chapter 4.2.4 --- Application of the proposed algorithm --- p.84Chapter 4.2.4.1 --- Design Automation in Garment Industry --- p.84Chapter 4.3 --- Analysis --- p.86Chapter 4.3.1 --- Performance --- p.86Chapter 4.3.2 --- Accuracy --- p.87Chapter 4.3.3 --- Approach Comparison --- p.88Chapter Chapter 5 --- Conclusion --- p.89Chapter 5.1 --- Strength and contributions --- p.89Chapter 5.2 --- Limitation and future works --- p.90References --- p.9

Beyond Homographies: Exploration and Analysis of Image Warping for Projection in a Dome

The goal of this project is to provide multiple approaches for warping a flat image tofit the curvature of a geodesic dome, to be presented as an immersive, Augmented Reality (AR) environment. This project looks to develop an algorithmic method of warping any image to fit perspective distortion for a dome-like surface. Despite fairly common usage in planetarium methods and other such shows, there is very little documented method that would allow for the warping of images to fit a curved projection surface. The methods will be explored include using Processing, OpenCV, and fisheye image filters. In addition to the paper, this research will also produce an online library of documents and resources for preforming these warps