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Augmented Reality is a kind of technique combining a virtual world with a real environment. This paper tells that OpenCV is applied to the realization of Registration Technique which is key to Augmented Reality. It studies the implementation of the camera calibration, the extraction of characteristic target and its recognition. This paper improved the efficiency of the exploitation and laid a foundation...
We propose a vision based methodology to solve the robot localization problem by estimating the pose of the robot's camera with respect to a model of the environment represented by a small set of landmark features. The methodology proposed constructs a regression model based on the pinhole camera projection model by combining the information of several observed features. In this regression model the...
The aim of this research is on developing a dynamic image matching model (DIMM) for smart devices. People with no knowledge on searching keywords can see the information and make good use of it in their daily life. Although existing search engines (Google, Yahoo etc.) have this systems, but it is necessary to get the information of any objects from anywhere on any platform. To fulfill this requirement...
In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line...
We introduce an action recognition approach based on Partial Least Squares (PLS) and Support Vector Machines (SVM). We extract very high dimensional feature vectors representing spatio-temporal properties of actions and use multiple PLS regressors to find relevant features that distinguish amongst action classes. Finally, we use a multi-class SVM to learn and classify those relevant features. We applied...
This Clud computing is the “post-PC” product of the times, and are profoundly affecting computer vision science. Using of clud computing method can achieve accurate detection of objects moving target location, thus fulfilling the object of physical space and information space integration. Based on the binocular visual motion detection algorithm is proposed. Using multiple cameras for eyes can deal...
Using perception in the context of rendering is a wide spread field. It can be used to speed up calculations or create more detailed images by refining important areas. Saliency, as a perception based method, can identify regions of interest, which should contain more detail. But currently no complete mapping of the 2D operators to an 3D equivalent has been defined. We propose a Bidirectional Saliency...
Person re-identification is an important problem in computer vision, which involves matching appearance of individuals between non-overlapping camera views. In this paper we present a novel appearance-based method for person re-identification problem. Color feature, Gabor, local binary pattern (LBP) are utilized to form a covariance descriptor to handle the difficulties such as varying illumination,...
Traditional detect method could not deal well with the problem of paper zooming. This paper introduces scale invariant feature transform to the paper detection system. The hardware of paper detection system consists of digital signal processor and complex programmable logic device. The hardware can accomplish image acquisition and processing. The software of this system use SIFT method to detect the...
We present a novel plane extraction algorithm based on coplanar line pairs for poorly textured scenes. Coplanar line pairs are extracted from intersecting line pairs and matched between two views, and their correspondences act as geometric primitives for 3D planar patch extraction. Each correspondence generates a plane hypothesis by estimating planar homography using the compatibility constraint with...
This paper presents a novel method for accurate motion detection in dynamic scenes without any prior information about moving object or dynamic scenes. Moving object detection is mainly performed by segmentation of estimated optical flow field, which is calculated by classical Horn Schunck algorithm. Robust ego-motion estimation is performed prior to the optical flow segmentation, which largely decreases...
Summary form only given. Human-computer interfaces (HCI) have evolved from mouse-keyboard based interaction using text and mouse events to multi-touch screens and other exotic approaches such as using special gloves or other devices to translate human actions into application controls. One of the trends which are “en vogue” in our days is the control of computer applications and/or computer controlled...
A fast and robust auto-sorting method for image ordering based on Markov Random Fields (MRF) is proposed. We present a specific MRF model for the ordering problem and use pairwise phase correlation for the formulation. The MRF is inferred by a modified belief propagation (BP) method. Experimental results prove that the new method can reorder a disorganised collection of images without human input,...
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...
We present a novel technique implementing barehanded interaction with virtual 3D content by employing a time-of-flight camera. The system improves on existing 3D multi-touch systems by working regardless of lighting conditions and supplying a working volume large enough for multiple users. Previous systems were limited either by environmental requirements, working volume, or computational resources...
In computer vision, many applications could greatly benefit from multi-spectral image data. Our aim is to illustrate the effectiveness of multi-spectral analysis obtained from a simple and cost-effective system. While the proposed approach is broadly applicable, in this paper we focus on the specific case of skin detection. To obtain the multi-spectral data, we have assembled a system using multiple...
The increasing availability of open source implementations of computer vision algorithms promises to commoditize these technologies as reusable community maintained building blocks. Using OpenCV and the cross-platform Qt development environment, we investigate the suitability of an open building block approach for rapid concept prototyping of computer vision based user interaction designs in CE-orientated...
This paper proposes a technique for 3-D recovery of a non-rigid object, such as a moving person, from a single camera view. Recovery of a non-rigid object is not possible from a single camera view without any condition. In this paper, we propose a single camera technique for recovering a non-rigid object under the condition that the object is composed of a set of rigid objects. The experiments employing...
A new method for efficiently mapping three dimensional environments from a platform carrying a single calibrated camera, and simultaneously localizing the platform within this map is presented in this paper. This is the Monocular SLAM problem in robotics, which is equivalent to the problem of extracting Structure from Motion (SFM) in computer vision. A novel formulation of Monocular SLAM which exploits...
In this paper, a networked visual servo control system with distributed computation is proposed to overcome the low sampling rate problem in vision-based control systems. A real-time image data transmission protocol based on Realtime Transport Protocol (RTP) is developed. The captured images are sent to different processing nodes connected over a communication network and processed in parallel. Thus,...
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