Showing papers in "Image and Vision Computing in 2008"

TL;DR: The proposed region-based multifocus image fusion method is more robust to misregistration or slight motion of the object than the pixel-based method and experimental results show that the proposed method can give good results.

TL;DR: A comparative study to review eight different deformable contour methods (DCMs) of snakes and level set methods applied to the medical image segmentation is presented in this article, which highlights both the strengths and limitations of these methods.

TL;DR: The way partial occlusion affects human observers when recognizing facial expressions is indicated and conclusions regarding the pairs of facial expressions misclassifications that each type of Occlusion introduces are drawn.

TL;DR: In this paper, the authors examine the possible use of description logics (DLs) as a knowledge representation and reasoning system for high-level scene interpretation, and show that aggregates can be represented by concept expressions of a description logic which provides a concrete-domain extension for quantitative temporal and spatial constraints.

TL;DR: An innovative touch-less palm print recognition system using a low-resolution web camera to capture the user's hand at a distance for recognition, where the users do not need to touch any device for their palm print to be acquired.

TL;DR: The experimental results show that the new scheme has a very fast encryption speed and the key space is expanded and it can resist all kinds of cryptanalytic, statistical and brute-force attacks.

TL;DR: Computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation of advanced forest fire-fighting strategies are presented.

TL;DR: An efficient solution to the problem to find the relative orientation between the two images given six corresponding points is presented and it is shown that there are 15 solutions in general (including complex solutions).

TL;DR: A hand posture recognition system using 3D data has the capability for robust unconstrained recognition of complex hand postures such as those encountered in sign language alphabets by explicitly utilizing 3D hand geometry.

TL;DR: The experimental results demonstrate that the proposed local patch-based occlusion detection technique works well and the S-LNMF method shows superior performance to other conventional approaches.

TL;DR: An unsupervised learning algorithm, distributed locally linear embedding (DLLE), is proposed to discover the intrinsic structure of the data, such as neighborhood relationships and global distributions, and these discovered properties are used to compute their corresponding low-dimensional embedding.

TL;DR: This paper shows, how a new object categorization system is set up by a knowledge acquisition and learning phase and then used by anobject categorization phase.

TL;DR: This method uses a pre-processed reference image as an initial condition for total variation minimizing blind deconvolution and results indicate the method is robust for both black and non-black background images while reducing the overall computational cost.

TL;DR: An image-based method for vehicle speed detection is presented, using a single image captured with vehicle motion for speed measurement according to the imaging geometry, camera pose, and blur extent in the image.

TL;DR: The use of Support Vector Machine with local Gaussian summation kernel with robust face recognition under partial occlusion is presented and the robustness to practical Occlusion in the real world using the AR face database is investigated.

TL;DR: Experimental results show that the proposed approach to use the lower radial orders and the rotation invariance of these moments to describe small objects in images is an efficient approach to satisfy the stringent requirements for higher edge location accuracy in such fields as medical image analysis and satellite remote sensing.

TL;DR: It is concluded that the proposed methodology based on ENO interpolation improves the detection of edges in images as compared to other fourth-order methods.

TL;DR: An algorithm for full-sky autonomous star identification based on the radial and cyclic features, and a guide database is also established according to the generating process of the star pattern.

TL;DR: A polygonal approximation technique using reverse polygonization, where dominant points are deleted such that the maximal perpendicular distance of approximating straight line from original curve is minimal, which shows this technique can produce better approximation results.

TL;DR: A novel method that aims at reliably detecting and tracking multiple people in an open area and is combined with a decision-level Bayesian fusion method is presented.

TL;DR: Both rigid and non-rigid groupwise registration are demonstrated using the MDL objective function on two-dimensional T1 MR images of the human brain, and it is shown that the concept of a reference image appears naturally as a valid model choice in theMDL approach.

TL;DR: This paper presents arguments that explicit strategies for visual attentional selection are important for cognitive vision systems, and shows that a number of proposals currently exist for exactly how parts of this goal may be accomplished.

TL;DR: Some of the key problems associated with embodied cognitive vision, including the phylogeny/ontogeny trade-off in artificial systems and the developmental limitations imposed by real-time environmental coupling are highlighted.

TL;DR: This paper presented a simple algorithm for fusion of multi-focus color images developed in HSI space where the intensity component was not very sensitive to noise and the results were acceptable.

TL;DR: An algorithm which models parameters of continuous warp fields, constructed by composing simple parametric diffeomorphic warps, which allows the parameters controlling the deformations to be meaningfully compared from one example to another.

TL;DR: Combining these multi-feature subspace components into a unified surface subspace, this paper creates a three-dimensional face recognition system producing significantly lower error rates than individual surface feature map systems tested on the same data.

TL;DR: An anisotropic diffusion scheme to detect defects in low-contrast surface images and, especially, aim at glass substrates used in TFT-LCDs (Thin Film Transistor-Liquid Crystal Displays) is proposed.

TL;DR: A novel data hiding method by using pixel segmentation strategy that increases the number of embedded secret bits more than 1.7 times compared with the EMD embedding method.

TL;DR: The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth.

TL;DR: Experimental results show that the visual-based particle swarm optimization speeds up the encoder 125 times faster with only 0.89dB decay of image quality in comparison to the full search method.