In this study, we developed a novel template matching method by establishing two new types of subtemplates for robust recognition of strongly deteriorated signboard images. This method has three main stages: (i) removing occlusion/reflection by using the main peak finding algorithm of uniform color regions; (ii) establishing thinning/thickening and difference sub-templates by using morphological operations; and (iii) adopting template matching criterion based on modified standard deviation. The high performance of our proposed method is shown in the results of an experiment carried out on 200 outdoor images taken under various kinds of bad conditions with occlusion, refection and so on.
We propose a bandwidth limiting type spread spectrum communication for application to development of frequency resources. First, we estimate the effect of bandwidth limiting , and evaluate the possibility of frequency-division multiplexing. Second, to reduce interference in existing signals, we estimate their susceptibility to interference by using a trapfilter circuit. Third, majority decision logic is proposed to realize amplitude limiting type code-division multiplexing easily. Our results confirm the effectiveness of this method.
Converted picture quality by a motion-copensated standards conversion depends on the performance of the motion vector estimation from TV signals. The performance of this motion vector estimation from TV signals in turn depends on the characteristics of input pictures. Therefore, subjective evaluation using several test sequences is important to evaluate the performance of a standards converter, and objective evaluation using general broadcasting programs is important, too. This paper proposes a measure for objective evaluation of artifacts which are generated by motion-compensated standards conversion. The proposed measure for objective evaluation is analyzed, and some converted pictures which are obtained by computer simulation of standards conversion are evaluated using this measure. The relationship between the measure and the artifacts of the converted pictures is considered. We confirm that the proposed measure can roughly represent artifacts in the converted pictures.
In most conventional approaches to the synthesis of human facial expressions, facial images are generated by manually moving feature points on a face based on the concept of FACS (Facial Action Coding System), primarily with 3D models, such as a wireframe model This paper describes a synthesis-by-analysis approach using range images for producing human facial 3D images with primary expressions First view-independent representations of 3D locations of facial feature points are obtained using an object-centered coordinate system defined on the face Then we quantify feature point locations for the neutral expression and six primary expressions. Applying an image warping technique on both registered range and surface texture images, we finally generate 3D facial expression images from a neutral expression image and motion vectors of facial feature points.
Reconstruction of virtual space has become very important in various applications. Computer graphics methods based on geometric models have been studied for this purpose. To obtain more natural representation, this paper proposes a new method which represents and handles 3 D objects using the concept of “ray space.” Ray space is a space that stores the rays reflected by 3 D objects. Handling objects in real space is equivalent to getting a sliced image with an appropriate plane in the ray space.
In this paper, we propose a new framework of representing 3-D spacial information by using 'Rays'. We show that this data format includes all the information of the scene viewed from any direction, so that, one view image from an arbitrary viewpoint can be obtained by sampling ray data. We also introduce ray parameter space and examine its characteristics. We give a new definition of visual field and viewing zone and evaluate the amount of ray data in terms of ray parameter space. In addition, we show possible applications of this concept by presenting simulations, including generating an any-viewpoint image and a variable-focused image, synthesizing a real image and a computer-generated image, and compressing a hologram pattern.
An image processing method is proposed to automatically extract symmetrical regions from binary and gray-scale images. A symmetrical region is defined as a rectangle whose inner pixel values are almost symmetrical with respect to its center line Position, lengths of two sides and rotational angle of the rectangle are assumed to be unknown In this method, a Genetic Algorithm (GA) is employed to determine the rectangular region In our GA, a set of parameters of a rectangle can be regarded as a chromosome of a virtual living thing. Randomly generated individuals evolve according to natural selection and a good solution corresponding to a symmetrical region is obtained through generation iteration. Arbitrary symmetrical rectangular regions can be extracted by the method without any information about the regions.
反復変換理論に基づく濃淡画像の符号化手法が数多く提案されている.その中で, A. E. Jacquinが提案した静止画像符号化では, 画像を異なる大きさのブロックに空間的に分割することで効率的な符号化を達成している.この概念を, 動画像符号化における時間方向の効率的な分割へと拡張した.
