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An image mosaic method based on multi-constraint was proposed to achieve the sequence images mosaic based on vehicle-borne quickly. Firstly, Harris corners of the sequence images were extracted after the distortions were eliminated. Secondly, a matching algorithm based on multi-constraint was applied to get 3 correct pairs of matching points between the adjacent frames. Furthermore, the parameters...
In this paper, an efficient algorithm for 3D Reconstruction and Depth measurement using stereo images is presented. In this algorithm, key-points are extracted using SIFT feature point detection method. Fundamental matrix in the epipolar geometry is calculated and camera calibration is done. Next, rectification is done with the calibrated images. Finally, depth is measured using disparity map generation...
In this paper a new method for the measurement of near-shore wave height from a digital video sequence is presented. The method identifies the location of the main wave break zones and then detects shoaling waves inside the detected break zone and estimate their heights. A geometric rectification is then used to convert the height measurement from image pixels to metres. Validation of the algorithm...
In this paper, a new package-group-transmission-based algorithm is proposed for human activity recognition in videos. The proposed algorithm first models the entire scene as a network where each node in the network corresponds to a segmentation of the scene. Based on this network, we further model people in the scene as groups of packages. Thus, various human activities can be modeled as the process...
Key frame extraction algorithms select a subset of the most informative frames from videos. Key frame extraction finds applications in several broad areas of video processing research such as video summarization, creating “chapter titles” in DVDs, video indexing, and prints from video. In this paper, a sparse representation based method to extract key frames from unstructured consumer videos is presented...
In this paper an original approach is proposed which makes possible autonomous scenes recognition performed on-line by an evolving self-learning classifier. Existing approaches for scene recognition are off-line and used in intelligent albums for picture categorization/selection. The emergence of powerful mobile platforms with camera on board and sensor-based autonomous (robotic) systems is pushing...
A novel model of fuzzy clustering neural network is discussed, which synthesizes unsupervised fuzzy competitive learning algorithm and self-organized competitive network. Based on this model, an algorithm of abrupt video shot boundary detection is presented which is a two-stage clustering on a linear feature space. The experimental results obtained demonstrate that the algorithm is feasible and efficient.
Vision is becoming more and more common in applications such as localization, autonomous navigation, path finding and many other computer vision applications. This paper presents an improved technique for feature matching in the stereo images captured by the autonomous vehicle. The Scale Invariant Feature Transform (SIFT) algorithm is used to extract distinctive invariant features from images but...
In this paper, we build the stereo vision system on a UAV named “Sky-walker” which was designed and created in Shanghai Jiaotong University. Used the image processing technique, we improved the feature points matching algorithm and made higher success rate. Then in the 3D reconstruction, we managed to reconstruction a large amount of 3D feature points, at last we tested the results deviation.
This paper presents a framework to track non-rigid objects adaptively by fusion of visual and motional feature descriptors. The proposed technique can automatically detect an object from different points of view as soon as the object starts moving. Moreover an object model is created and gradually updated using both new and previous features. As a result, the proposed technique is able to track a...
In this paper, camera movements including zoom, pan and tilt could be efficiently detected for conversation scenes in movies using an improved feature point matching method. RANSAC algorithm is applied to reduce the error rate of feature matching. This implementation possesses notable significance for conversation scenes' editing and analysis. Besides, it is an essential fundamental step for constructing...
In this paper, we present an efficient rectification algorithm for un-calibrated multi-view images based on SIFT (Scale-invariant feature transform) feature matching. Un-calibrated rectification is necessary for some specific occasions and we extend generic stereo pair rectification to multi-view camera array with projection shift method. We bring in SIFT algorithm to extract and match features (key...
In this paper, we propose a new image splicing detection algorithm based on estimation of camera intrinsic parameters to detect splicing of figure photos or images with abundant geometry information. We use points, lines and other geometric features in the image to obtain constraint equations and then find the camera intrinsic parameters to determine possibilities of image splicing. In our algorithm,...
Stereo vision systems have recently become an essential part for most autonomous mobile robots. There are several commercially available stereo vision products, which have been used for autonomous functions in mobile robot platforms. However, most of them are not suitable for compact sized robots. This paper presents an embedded stereo vision system that provides flexible baseline for robots of compact...
The paper presents a vision based approach to facial expression recognition using commonly available hardware resources and considering very simple spatial features of the face. Face region is cropped on the image and image processing techniques are applied heuristically to local various facial feature regions. Individual feature points are detected precisely in these feature regions. Spatial rules...
This paper presents a solution of image mosaics for vehicle monitoring system. Image mosaics technology is used to create a wider field of view on the monitor screen. This paper discusses a new image mosaics method which can meet the demands for the application of the vehicle monitoring system. The new method adopts Harris and SIFT algorithms' advantages and improves the processing time.
Constraining by cameras' view-angles of the outdoor monitoring systems, the panoramic digital images fail to be obtained directly from photographing. A method is proposed on the basis of the scale invariance feature transform (i.e. SIFT) algorithm to stitch images captured by the turning video cameras together to form panoramic images. Based on the SIFT features and the retrofitted KD-Tree structure,...
In this paper, we present a novel method based on clustering for identifying 3D line from point clouds, called “self-organizing fuzzy k-means algorithm”. The algorithm automatically finds the optimal number of cluster and self organizes the clusters based on inter/intra-cluster distances and cluster's performance evaluation. The self-organizing fuzzy k-means is applied in 3D line identification from...
As a passive light-weight system with a natural adaptation capacity to the environment, mimicking the human capacity for detecting hazards, vision-based navigation for space applications has been the subject of a sustained research effort in Europe for more than ten years. The “Navigation for Planetary Approach and Landing” (NPAL) ESA/Astrium Satellites project paved the way for a new European autonomous...
We present an efficient method based on image rectification for achieving the feature correspondence between images. The method is comprehensible through a geometric analysis of two rectified views. An important constraint-Truncation Point-is found and largely reduces a search range than the conventional method. The classical normalized cross-correlation is then performed on this search range to locate...
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