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In this paper we propose a method to add scale-invariance to line descriptors for wide baseline matching purposes. While finding point correspondences among different views is a well-studied problem, there still remain difficult cases where it performs poorly, such as textureless scenes, ambiguities and extreme transformations. For these cases using line segment correspondences is a valuable addition...
The purpose of this paper is to evaluate and compare different spatio-temporal interest points (STIP) detectors which are considered as extensions of the most common interest points (IP) detectors in 2D images to 3D space-time features: Harris 3D, Motion Scale Invariant Feature Transform (MoSIFT) and Speeded Up Robust Features Motion History Image (SURF-MHI). This paper uses the criteria of repeatability...
Todays terahertz instrumentation lacks cost-effective sources and detectors compatible with standard microelectronics to drive down the system cost. This paper presents recent developments based on silicon process technologies and discusses the challenges in implementing source and detectors. It presents a 530 GHz source array with up to 1 mW radiated power, a 1024-pixel CMOS camera, and a heterodyne...
We have developed a room temperature, broadband, and polarization-sensitive terahertz detector based on a p-n junction film of highly aligned and ultralong carbon nanotubes. Direct thermoelectric measurements demonstrate the photothermoelectirc nature of the detection mechanism
This paper proposes a new method to find face in real-time videos by combining detection and tracking. Basically, the method contains two complementary modules: detection by Viola Jones method and tracking by correlation filters. Detection in current frame is independent to previous frames, but the performance may downgrade under harsh conditions in terms of lighting, rotation, occlusion and others...
In this paper, we investigate the ability of humans to recognize objects using different types of edges. Edges arise in images because of several different physical phenomena, such as shadow boundaries, changes in material albedo or reflectance, changes to surface normals, and occlusion boundaries. By constructing synthetic photo realistic scenes, we control which edges are visible in a rendered image...
Scene image matching is often used for positioning of a visually navigated autonomous robot. The robot memorizes the scene as an image at each navigation point in the teaching mode, and knows being at the same position when the outside scene is matched to the image in the playback mode. The scene matching is usually accomplished by feature-based image matching methods, such as SIFT or SURF. However...
A novel quantum effect photodetector array consisted of AlAs/GaAs/InGaAs/GaAs/InAs/ quantum-dots in quantum-well hybrid structure has been tested. It showed a wide response wavelength range from 400nm to 1000nm. The low threshold voltage (−0.8V) and the high responsibility (10A/W) at 77K made it a good choice for optical detection. A custom-made capacitor feedback transimpendance amplifier (CTIA)...
Face detection is an important research topic in the field of computer vision. Illumination problem is one of the most important aspects impeding the effectiveness of face detection. The well known Haar-like face detector developed by Viola and Jones is also largely weakened under adverse lighting conditions such as backlighting or uneven lighting. In this paper, a novel segmentation-based illumination...
We propose a tampering detection method using two-stage scene matching for real application with high efficiency and low false alarm rate. In the first stage, we use the intensity of edges as the main cue to detect the camera tampering events. Instead of using the entire edge points of the images, we sample the most significant edge points to represent the scene. Analyzing the edge variation with...
Optical flow can greatly improve the robustness of visual tracking algorithms. While dense optical flow algorithms have various applications, they can not be used for real-time solutions without resorting to GPU calculations. Furthermore, most optical flow algorithms fail in challenging lighting environments due to the violation of the brightness constraint. We propose a simple but effective iterative...
With the development of economy urbanisation and technology it is necessary to design intelligent energy saving lighting systems [2], and efficient power management on ATM counters. The information of pedestrians and the ATM users are sensed by the pyroelectric infrared sensors. The sensors are placed on the door pole, thus the selection and installation of sensors are directly affect the control...
A Non-Destructive Testing (NDT) has been a popular analysis technique used in industrial product evaluation and for troubleshooting in research work without causing damage which can also save both money and time. This paper deals with a novel crack detection technique based on NDT for cracks in walls suppressing the diversity and complexity of wall images. The detection technique begins with wall...
As a multi-billion dollar industry, scallop fisheries world-wide rely on maintaining healthy off-shore populations. Recent developments in the collection of optical images from extended areas of the ocean floor has opened the possibility of assessing scallop populations from imagery. The shear volume of data — upwards of 20,000 images per hour — implies that automatic image analysis is necessary....
Flow cytometry has wide applications in cell biology and medicine. Compared with conventional fluorescence labeling, light scattering can be adopted as a label-free cytometric method. Integration of optics with microfluidics, the optofluidic technology may help for the advancement of the next generation miniaturized label-free cytometry. Optofluidic label-free cytometry that can obtain two dimensional...
Space-time feature extraction is a recent and popular method used for action recognition. This paper presents a new algorithm to improve the robustness of spatio-temporal feature extraction techniques against the illumination and scale variations. Most of the interest point detectors are sensitive to illumination variations that may cause serious problems in action recognition by finding wrong keypoints...
The speed of face detection influences overall performance of applications like face recognition and human-robot interaction (HRI). In some applications such as long distance HRI, face detection is carried out on high resolution image up to 800×600 or more, leading to an increase in detection time and, in turn, deteriorating the application performance. To improve the speed of face detection, we propose...
A robust image processing technique capable of detecting and localizing objects accurately plays an important role in many computer vision applications. In this paper, a feature based detector for birds is proposed. By combining Histogram of Oriented Gradients (HOG) and Center-Symmetric Local Binary Pattern (CS-LBP) as the feature set, detection of crows under various lighting conditions could be...
A system is proposed for automatic reading of the number of dots on dice in general table game settings. Different from previous dice recognition systems which recognize dice of a specific color using a single top-view camera in an enclosure with controlled settings, the proposed one uses multiple cameras to recognize dice of various colors posed in a wide range of viewing angle and under uncontrolled...
We propose a novel object detection approach that combines the discriminative power of object category classifiers with a simple pixel level focus of attention mechanism. The pixel-level foreground/background detectors evolve to classify each pixel as either being part of an object of interest or noise. Unlike background subtraction algorithms, the decision of what is foreground is influenced by object...
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