This abstract proposes to automatically estimate the optimal regularization parameter of SRDA based on the perturbation linear discriminant analysis (PLDA). In addition, two parameter estimation methods for the kernel version of SRDA are also developed. One is derived from the method of optimal regularization parameter estimation for SRDA. The other is to utilize the kernel […]
HOW TO ESTIMATE THE REGULARIZATION PARAMETER FOR SRDA AND ITS KERNEL VERSION
Dimension reduction is the process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction. Spectral regression discriminant analysis (SRDA) has recently been proposed as an efficient solution to large-scale subspace learning problems. There is a tunable regularization parameter in SRDA, which is critical to algorithm […]
A NOVEL ITERATIVE TRICLASS THRESHOLDING TECHNIQUE BASED ON OTSU’S METHOD IN IMAGE SEGMENTATION
Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries […]
IMAGE SEGMENTATION USING ITERATIVE TRICLASS THRESHOLDING TECHNIQUE
In image processing, segmentation is often the first step to pre-process images to extract objects of interest for further analysis. We present a new method in image segmentation that is based on Otsu’s method but iteratively searches for sub regions of the image for segmentation, instead of treating the full image as a whole region […]
SALIENCY DRIVEN NONLINEAR DIFFUSION FILTERING BASED IMAGE CLASSIFICATION USING MULTISCALE INFORMATION FUSION
Image classification is perhaps the most important part of digital image analysis. It is very nice to have a “pretty picture” or an image, showing a magnitude of colors illustrating various features of the underlying terrain, but it is quite useless unless to know what the colors mean. The image is classified using multiscale information […]
PHOTOMETRIC STEREO FOR GENERAL DIFFUSE SURFACES USING SPARSE BAYESIAN REGRESSION
Photometric stereo algorithm used for stably and accurately estimating the surface normals of a scene in the presence of various non-Lambertian effects. Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian structure for the inliers, and […]
A GENERALISED APPROXIMATE NEAREST NEIGHBOUR FIELD (ANNF) COMPUTATION FRAMEWORK BETWEEN SOURCE AND TARGET IMAGE
Approximate Nearest Neighbour Field (ANNF) computations are a recent development in the image processing community which have gained wide popularity, especially in the graphics community, due to their fast computation times. In this abstract, we propose FeatureMatch, a generalised approximate nearest-neighbour field (ANNF) computation framework, between a source and target image. The proposed algorithm can […]
SHARING VISUAL SECRETS IN SINGLE IMAGE RANDOM DOT STEREOGRAMS BASED ON BVCS
In this abstract, a binocular VCS (BVCS), called the ( 2 , n ) -BVCS, and an encryption algorithm are proposed to hide the shared pixels in the single image random dot stereograms (SIRDSs). Because the SIRDSs have the same 2D appearance as the conventional shares of a VCS, this paper tries to use SIRDSs […]
FEATUREMATCH ALGORITHM FOR A GENERAL ANNF ESTIMATION TECHNIQUE AND ITS APPLICATIONS
The proposed algorithm can estimate ANNF maps between any image pairs, not necessarily related. This generalisation is achieved through appropriate spatial-range transforms. To compute ANNF maps, global colour adaptation is applied as a range transform on the source image. Image patches from the pair of images are approximated using low-dimensional features, which are used along […]
2D TO STEREOSCOPIC 3D CONVERSION USING ROBUST SEMI-AUTOMATIC DEPTH MAP GENERATION IN UNCONSTRAINED IMAGES AND VIDEO SEQUENCES
Stereoscopic imaging has been around for many decades, it has recently seen a rise in interest due to the availability of consumer 3D displays and 3D films. This surge is seen in the recent proliferation of big budget 3D movies, or with some portions of the film being offered in 3D. 3D films show novel […]