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Foveated sampling and representation of images is a powerful tool for various vision applications. However, there are many inherent difficulties in implementing it. We present a simple and efficient mechanism to manipulate image analysis operators directly on the foveated image; A single typed table-based structure is used to represent various known operators. Using the Complex Log as our foveation...
We present a new center-referenced basis for representation of stereo correspondence that permits a more natural, complete and concise representation of matching constraints. In this basis, which contains new occlusion nodes, natural constrainsts are applied in the form of a trellis. A MAP disparity estimate is found using DP methodsin the trellis. Like other DP methods, the computational load is...
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a partial implementation of (our interpretation of) Kosslyn’s biological vision model, with a control system added to it. We then show how reinforcement learning can be used to control and optimize recognition in an unsupervised...
Moving object tracking is one of the most important techniques in motion analysis and understanding, and it has many difficult problems to solve. Especially estimating and tracking moving objects, when the background and moving objects vary dynamically, are very difficult. The Kalman filter has been used to estimate motion information and use the information in predicting the appearance of targets...
In this paper “EIGENFACES” are used to recognize human faces. We have developed a method that uses three eigenspaces. The system can identify faces under different angles, even if considerable changes were made in the orientation. First of all we represent the face using the Karhunen-Loeve transform. The face entered is automatically classified according to its orientation. Then we applied the rule...
We investigate the effects of time delayed interactions in the network of neural oscillators. We perform the stability analysis in the vicinity of a synchronized state at vanishing time delay and present a related phase diagram. In the simulations it is shown that time delay induces various phenomena such as clustering where the system is spontaneously split into two phase locked groups, synchronization,...
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures covering the viewing sphere with no pose information being provided. We merge pictures into a continuous pose-parameterized coverage of the viewing sphere. This can serve as a basis for pose-independent recognition and for the...
We propose a technique for image enhancement, especially for denoising and deblocking based on wavelets. In this proposed algorithm, a frame wavelet system designed as an optimal edge detector is used. And our theory depends on Lipschitz regularity, spatial correlation, and some important assumptions. The performance of the proposed algorithm is tested on three popular test images in image processing...
The paper is a short tutorial on the multiscale differential geometric possibilities of the front-end visual receptive fields, modeled by Gaussian derivative kernels. The paper is written in, and interactive through the use of Mathematica 4, so each statement can be run and modified by the reader on images of choice. The notion of multiscale invariant feature detection is presented in detail, with...
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution...
Originally the Interactive Activation Model(IAM) was developed to expalin Word Superiority Effect(WSE) in the English words. It is known that there is a similar phenomena in Korean characters. In other words people perceive a grapheme better when it is presented as a component of a character than when it is presented alone. We modified the orginal IAM to explain the WSE for Korean characters. However...
Multiresolution frameworks have been embraced by the stereo imaging community because of their human-like approach in solving the correspondence problem and reconstructing density maps from binocular images. We describe a method to recover depth information of stereo images based on a multi-channel wavelet transform, where trends in the coefficients provide overall context throughout the framework,...
We present a biologically plausible neural network model for long-range contour integration based on current knowledge about neural mechanisms with orientation selectivity in the primate visual cortex. The network simulates diffusive cooperation between cortical neurons in area V1. Recent neurophysiological evidence suggests that the main functional role of visual cortical neurons, which is the processing...
This paper presents a method that generates a mosaic image from multiple images or a sequence of images without any assumptions on camera intrinsic parameters or camera motion. The most appropriate transform model is automatically selected according to the global alignment error. Given a set of images, the optimal parameters for a 2D projective transform model are computed using a linear least squares...
In order for users to find necessary information more easily, the targets should be more salient than the non-targets. In this study, we intended to find the critical color differences that could be helpful in locating the target information. Previous studies have focused on the critical color differences in the C.I.E. color system though the H.S.B color model is often the choice for a color design...
A robust and efficient human face detection system that can detect multiple faces in various surroundings is presented in this paper. The proposed system consists of two principal parts. The first part is to search for the potential face regions. The second part is to perform face verification task. Our system can conquer different size, different lighting condition, varying pose and expression, and...
We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system to continuously track people moving in a group with occlusion. Experimental results show that the...
In this paper, a new approach using a single log-polar face template has been adopted to locate a face and its landmarks in a face image with varying scale and rotation parameters. The log-polar mapping which simulates space-variant human visual system converts scale change and rotation of input image into constant horizontal and cyclic vertical shift in the log-polar plane. The intelligent use of...
Examinations of the early vision system of mammals have shown Gabor-like behaviour of the simple cell responses. Furthermore, the advantages of scGab or-like image filtering are evident in computer vision. This causes strong demand to achieve Gabor-like responses in biology inspired spiking neural networks and so we propose a neural vision network based on spiking neurons with Gabor-like simple cell...
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantages over a Hough transform based approach in a practical situation. However, since its process is purely local, it does not provide a mechanism for finding more favorable line segments from a global point of view. Our method...
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