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In general, it is difficult to construct an object recognition system, because such a system has many design variables and often these cannot be designed independently. However, in certain manufacturing tasks, it is not always necessary to design all variables. In this study, we selected a picking task as the target task for the experiment. We restricted the design variables to parameters of the preprocessing...
This paper presents a system for seamless integration of vision system with a robotic arm for part segregation. In this system geometric properties of the object are identified and a Robotic arm is used to segregate them based on shape and size. The entire process is achieved in three stages. At first, a camera captures the image of the object and its output is processed using image processing techniques...
In this paper, robot control by human motion data is considered. The conventional motion reproduction structure had its limitation on the performance due to the lack of means for environmental sensing. This study implements the widely used vision based approach. The possible reproduction structure with both visual and tactile senses are discussed. The proposed reproduction structure with both visual...
We are developing a helper robot able to fetch objects requested by users. This robot tries to recognize objects through verbal interaction with the user concerning the objects that it cannot detect autonomously. We have shown that the system can recognize objects based on an ontology for interaction. In this paper, we extend a human description ontology to link a "human description" to...
The fractal dimension can measure the distribution of pixels' intensities. Thus, it can be used as a tool to describe the image content. Three kinds of fractal dimensions i.e. box dimension, correlation dimension and information dimension are applied in the construction of fractal features. The object recognition is accomplished according to the similarities of the fractal features. The experiments...
This paper presents the conceptualization proposed by Ignacio Matte Blanco of the functioning of conscious and unconscious thinking. In his original view the two ways of thinking are conceived as two distinct logics, “symmetrical” and “asymmetrical” logics. In this study the fundamentals of his concepts are identified and re-elaborated in a more formal way, with the aim of developing an operational...
Recently introduced high-accuracy RGB-D cameras are capable of providing high quality three-dimension information (color and depth information) easily. The overall shape of the object can be understood by acquiring depth information. However, conventional methods adopted this camera use depth information only to extract the local feature. To improve the object recognition accuracy, in our approach,...
Conventional supervised object recognition methods have been investigated for many years. Despite their successes, there are still two suffering limitations: (1) various information of an object is represented by artificial features only derived from RGB images, (2) lots of manually labeled data is required by supervised learning. To address those limitations, we propose a new semi-supervised learning...
3D object recognition from 3D scenes, is one of the challenges of several researchers in the field of computer vision, engineering and Robotics. The occlusion is one of the problems that we can found. One of the possible solutions in this situation is to find a part of an object in the scene that can be identified. For this reason, we are mainly interested to partial shape retrieval methods. In this...
Scene understanding is a critical issue in the advances of intelligent space. Given a 3D point cloud captured for a static scene by laser scanning, we propose a structure-based scene representation and object recognition method. Our method consists of three steps: (1) the scene is segmented and all of the segmented objects in scanned scene are described respectively by features, including size, location,...
With the development of the moment technology, the moment descriptors have been used in many applications in the field of object recognition. In recent years, discrete orthogonal moments have been studied and proposed in moment applications as features to characterize image shapes. In this paper, a set of Racah moment based feature vectors is proposed for a Chinese character recognition system. The...
A method for identifying shape features of local nature on the shape's boundary, in a way that is facilitated by the presence of noise is presented. The boundary is seen as a real function. A study of a certain distance function reveals, almost counter-intuitively, that vertices can be defined and localized better in the presence of noise, thus the concept of noising, as opposed to smoothing, is conceived...
This paper presents a novel shape representation approach, Finite Element Skeleton (FES), based on studies of planar shape analysis from the perspective of Finite Element Method (FEM). First, we derive the shape contour of an object in image with edge detection approach. Then, the approach builds connections of all pixels on the shape contour with the inner center point of the shape, and models these...
Use of digital image analysis for the identification of seeds has not been recognized as a validated method. Image analysis for seed identification has been previously studied, and good recognition rates have been achieved. However, the data sets used in these experiments either contain very few groups of non-verified specimens or little representation of intra-species variations. This study considered...
Three-dimensional object detection and recognition is increasingly in manipulation and navigation applications in autonomous service robots. It involves clustering points of the point cloud from an unstructured scene into objects candidates and estimating features to recognize the objects under different circumstances such as occlusions and clutter. This paper presents an efficient approach capable...
The iris of a human is not only relevant for biometry; it is also relevant for the prediction and diagnosis of human health. One understands by iris diagnosis (Iridology) the investigation and analysis of the colored part of the eye, the iris, to discover factors which play an important role for the prevention and treatment of illnesses. Up-to-date the iris diagnosis is done manually and is concerned...
In this work, we propose an object recognition strategy in a domestic environment. Our contribution is to use low-level features extracted from images with high-level concepts generated from an ontology of domestic objects to get richer decision. It consists in developing a semantic classification by providing for a white cane user the class of the obstacle and the scene in which it is located. The...
An automatic building extraction method for very high resolution satellite images is presented in this paper. Two novel operators Differential Morphological Shadow Operator (DMSO) and Differential Morphological Building Operator (DMBO) for extracting shadows and buildings respectively are proposed. The method identifies shadows using DMSO. After masking out the shadow, DMBO is applied to obtain the...
This paper proposes a new design and implementation method in supporting a smart surveillance system that can automatically detect abandoned and stolen objects in public places such as bus stations, train stations or airports. The developing system is implemented by using image processing techniques. In the circumstance such as when suspicious events (i.e. left unattended or stolen objects) have been...
Object detection and classification in video is an important step in the video surveillance. We propose efficient moving object detection, classification and evaluate its parameter by alternating the algorithm in effective way. The techniques like image subtraction, threshold and foreground detection will be used for object detection and patterns are used for classification. Then frame by frame the...
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