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The work described in the paper deals with realization of a digit recognition system for the visually impaired persons. The input to the system is pressure sensor data obtained from a sensor pad with 256 capacitive pressure sensors. The objective of the system is to recognize correctly the 2-D shape of a digit which is placed on the above sensor pad. The problem is extremely challenging because the...
Visual speech recognition or lip reading is an approach for noise robust speech recognition by adding speaker's visual cues to audio information. Basically visual-only speech recognition is applicable to speaker verification and multimedia interface for supporting speaking impaired person. The sequential mouth-shape code method is an effective approach of lip reading for particularly uttered Japanese...
For recognizing the objects in the image, the existing image recognition methods only can identify certain kinds of objects in the image recognition field and the recognition rate is also not high. This paper proposes an image recognition method which is based on shape feature and texture feature. This method divides the objects images into two types, foreground images and background images. Then...
In this paper, we investigate the possibility of using limited feature points (shape landmarks) from 3-D human body shapes to recognize the gender of human beings. Several machine learning algorithms and feature extraction algorithms (principal component analysis and linear discriminant analysis) are investigated and analyzed in this paper. Experimental results on a large dataset containing 2484 3-D...
To inspect medical capsules with one-dose package (ODP), we propose an automated inspection system based on computer vision. In the proposed system, we capture both-side of capsules at once and apply hierarchical recognition. In this paper, we report several results of preliminary experiments, which distinguish 9 kinds of capsules. As a result, we have achieved 99.1 percent recognition rate and discuss...
From secret knowledge like password up to physical traits as biometrics, current smartphone authentication systems are deemed inconvenience and difficult for users. Burdens on remembering password as well as privacy issues on stolen or forged biometrics have raised a futuristic idea of authentication systems. New system is hoped being transparent and with very minimum user involvement denoted as implicit...
Facial expression recognition can provide rich emotional information for human-robot interaction. This paper presents a facial expression recognition design that recognizes facial expressions as well as intensity and mixture ratio of six basic facial expressions. In this system, Active Appearance Model (AAM) and Lucas-Kanade image alignment algorithms are adopted to align the input facial images to...
3D face modeling from 2D face images is of significant importance for face analysis, animation and recognition. Previous research on this topic mainly focused on 3D face modeling from a single 2D face image; however, a single face image can only provide a limited description of a 3D face. In many applications, for example, law enforcement, multi-view face images are usually captured for a subject...
Shape distribution is a common 3D shape descriptor that has been widely used for 3D object retrieval. In this study, we evaluate the feasibility of shape distribution for object recognition based on Kinect-like depth image obtained from RGB-D object dataset; consisting of several household instances from 51 classes; and each instance consists of depth images from different rotational angle view. The...
A novel traffic sign recognition algorithm is presented in the paper. This algorithm integrates the Dual-Tree Complex Wavelet Transform(DT-CWT) representation of traffic sign images and 2D Independent Component Analysis(2DICA) method. First traffic sign color-image is preprocessed with gray scaling, and normalized to 64×64 size. Image features could be obtained by concatenation of four levels DT-CWT...
For an apple harvesting robot, the machine vision system is a very important part which is used to recognize and locate apples. In this paper, an automatic apple recognition method based on image processing technology is developed for apple harvesting robot. Firstly, 2R-G-B grey value transform is performed, and the adaptive threshold Otsu algorithm is used for image segmentation. Then, a series of...
Using gesture for interaction is a notion of natural human computer interaction. The use of gesture requires a correct identification of the intended pose by the system. Already numerous algorithms are working on it but not paying much attention on the complexity. Hence in this paper, a hybrid algorithm is being introduced to reduce the complexity of process also to make it insensitive with respect...
In this study, we aim to achieve autonomous navigation for robots in environments that they have not previously visited. Many of the existing methods for autonomous navigation require a map to be built beforehand, typically by manually navigating the robot. Navigation without maps, i.e., without any prior information about the environment, is very difficult. We propose to use existing digital street...
This paper proposes a new descriptor for radiological image retrieval. The proposed approach is based on fuzzy shape contexts, Fourier transforms and Eigenshapes. At first, fuzzy shape context histograms are computed. Then, a 2D FFT is performed on each 2D histogram to achieve rotation invariance. Next, histograms are projected onto a lower dimensionality feature space. The new space is more representative...
This paper presents the hazardous signs and fire exit signs classification in vision-based fire protection and fire evacuation paths control system. The algorithm described here take an advantage of image sign features that their colors and shapes are very different from natural environments. The system is divided into three parts, first for image detection by CCD camera that is installed with user's...
Ancylis sativa Liu is a kind of insects to cause severe damage to jujube trees. This paper studies the recognition of Ancylis sativa Liu from catchers via using computer vision technique. The image of a Ancylis sativa catcher generally shows not only Ancylis sativa but also other objects. Consequently it leads to that the image has a complicated background and an uncertain interesting region. Ancylis...
To achieve enhanced image recognition, it is necessary to accurately extract the contour of the recognition target from the input image in a preprocessing step. Contour extraction methods based on the active contour model(Snakes) require the operator to specify the parameter values that best catch the shape of the target. However, it is difficult to guess the parameter values since the relationship...
We have been manufacturing our own License Plate Recognition (LPR) systems since 1999 for parking lots in Japan. We have implemented a number of enhancements for our latest LPR system and one of the most important enhancements is for ranges of acceptable license-plate attitude angles. We collected 163, 574 actual images so far and we selected 6,648 images randomly from this image database to verify...
Vein image recognition based on modeling shape or geometrical layout of feature points is generative approach, and the performance is usually limited by segmentation error due to poor vein image quality. This paper instead proposes to model the discriminative appearance of local image patch using the vocabulary tree model. The discriminative approach is further extended to consider the geometrical...
In order to realize model-based 3D object recognition, first, we propose a geometric feature extraction method based on a novel gaze modeling. In the modeling process, local surface models are independently estimated for parts of range data restricted by several gaze domains. Hence, since features are independently extracted from each gaze domain, inconsistent or incorrect features may be obtained...
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