The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The human visual system employs an information selection mechanism, visual attention, so that higher-level cognitive processes can be restricted to a potentially important subset of the incoming information. This mechanism is amenable to efficient computational implementation and, consequently, it has been incorporated into many technological applications. Among these applications is autonomous mobile...
This paper proposes a method of vision based pose estimation of randomly piled objects. It is necessary to estimate precise rotation angle of picking objects. However, it is non-trivial task because an object placed in every position makes distorted image far from right position image. We propose a precise pose estimation method of bin picking objects. The landmark feature of a picking object is extracted...
Real-time object detection is crucial for many applications of Unmanned Aerial Vehicles (UAVs) such asreconnaissance and surveillance, search-and-rescue, and infras-tructure inspection. In the last few years, Convolutional NeuralNetworks (CNNs) have emerged as a powerful class of modelsfor recognizing image content, and are widely considered inthe computer vision community to be the de facto standardapproach...
Robot is being more intelligent with the visual information and analysis. Specially, the functionality of the object or scene recognition with a high accuracy is essential for the autonomous control and navigation. However, they are too complicated to be implemented in an embedded platform for mobile robots driven by a battery. In this paper, for the high processing speed with low power consumption...
In this paper we describe an approach for detection and pose estimation of colored objects with only few or no textural features. The approach consists of two separate stages. First, we perform vision-based object detection and hypothesis filtering. Then, we estimate and validate the object's pose in 3-D laser scans. For object detection we integrate image segmentation results from multiple viewpoints...
The neuromorphic retina is a very large scale integrated (VLSI) circuit whose structure and function are designed to mimic those of retinal neuronal network. We have developed a neuromorphic retina model to study the function of retinal circuits in natural visual environment. The model consists of analog VLSI circuit and Field Programmable Gate Array (FPGA), enabling to reproduce responses of major...
In this position paper we propose the use of the Distributional Clauses Particle Filter in conjunction with a model-based 3D object tracking method in monocular camera sequences. We describe the model based object tracking method that is based on contour and edge features for 3D pose relative estimation. We also describe the application of the Distributional Clauses Particle Filter that takes into...
This paper presents a novel method for making an inexpensive, low resolution, wide angle gamma-ray camera using a single handheld inorganic scintillation detector. A lead aperture is used to create a directionally sensitive detector and craterisation points are measured and compiled into a pixel Ted spherical gamma-ray image. The gamma-ray image is separated into energy channels and overlaid on top...
This paper presents a parallel implementation model for real-time video image processing of saliency maps (SMs), which are a model to predict gaze directions based on human visual attention. It can extract high visual saliency regions that differ from surroundings in scene images. In computer vision, SMs are used for various applications because of the sparse feature representation. As an implementation...
This study aims at the autonomous seafloor surveillance by underwater vehicles based on computer vision techniques. A novel scheme of seabed image classification is proposed to identify three types of seabed sediments. The texture features of seabed sediments were described by using gray-level co-occurrence matrix and fractal dimension. Subsequently, an unsupervised learning method, Self-Organizing...
Robotisation of forestry harvesting in New Zealand has the potential to achieve great productivity benefits and support the timber industry in the face of global market competition. Recognition and localization of tree trunks is the first critical operation for an autonomous forestry harvesting robot and is a challenging task due to variations of illumination under normal forestry harvesting conditions...
This work presents scenario oriented Color-Depth integration framework for the purpose of robust object segmentation in a real workplace scenario. The workplace is the Library of Bremen University and the objects to be grasped are books located on a shelf. The proposed framework is responsible for segmenting the book to be grasped and extract the features needed for a successful grasping operation...
Map matching is a critical problem of robotic mapping and localization which has attracted broad interests in robot vision community. Despite its accuracy and efficiency, the popular RANSAC-based algorithm suffers from large memory requirements, which is proportional to the number N and size of maps. In this paper, our goal is to realize fast succinct map matching by introducing a part-based scene...
In this paper, we introduce a new spatial domain color contrast enhancement algorithm based on the alpha weighted quadratic filter. The goal of this work is to utilize the characteristics of the nonlinear filter to enhance contrast while recovering the color information. Automatic parameter selection is also important for autonomous robot systems. Therefore, we also present a modified image contrast...
In this paper a new stereo vision method is presented that combines the use of a lightness-invariant pixel dissimilarity measure within a dynamic programming depth estimation framework. This method uses concepts such as the proper projection of the HSL colorspace for lightness tolerance, as well as the Gestalt-based adaptive support weight aggregation and a dynamic programming optimization scheme...
Human detection is a key functionality to reach Human Robot/Computer Interaction. The human tracking is also a rapidly evolving area in computer and robot vision; it aims to explore and to follow human motion. We present in this article an intelligent system to learn human detection. The descriptors used in our system make up the combination of HOG and SIFT that capture salient features of humans...
Summarized the vision structure frame of the YSU soccer robot system and detailedly introduced the key technique of the visual system. Through geometric correction, it settled the problem of image deformation existing in imaging system itself. In order to improve image processing speed and precision, proposed the HSV color space model to process image, after analyzing the RGB color space model advantage...
The soccer robot assembly system belongs to the intelligence robot assembly system, this article take the YSU soccer robot assembly system as a platform, proposed unifies the auto-adapted threshold value method based on HIS and RGB, improved in the original system in the multi-objective search process image to gather slow and the robust bad situation.
Training home robots to behave like human can help people with their daily chores and repetitive tasks. In this paper, we present Imirok, a system to remotely control robotic arms by user motion using low-cost, off-the-shelf mobile devices and webcam. The motion tracking algorithm detects user motion in real time, without classifier training or predefined action sets. Experimental results show that...
In this paper a visual self-localization method for a humanoid robot is presented. This one is based on monocular information. The goal of this method is to obtain the position (x; y) and orientation θ of the humanoid robot inside the field of play. The methods proposed include some digital image processing algorithms and geometric interpretation to perform a 3D monocular reconstruction, that allows...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.