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Split FOV (Field of View) star tracker was developed by Texas A&M University together with the University of Rome “La Sapienza”. A 50% splitter was used to combine light beams from two separate FOVs, while only a single objective lens and optical detector are used. In this way, double FOV configuration allows increased accuracy in attitude determination by taking advantage of the ability to examine...
A detection method of moving targets in deep space is researched based on technology of image registration. According to the characteristics of deep space image information, a SUSAN feature point extraction algorithm is modified to inhibit isolated noises which are similar to sidereal feature points, and it effectively eliminates isolated noises. The geometric constraint among stars in the star image...
We investigate ear recognition systems for severe signal degradation of ear images in order to assess the impact on biometric performance of diverse well-established feature extraction algorithms. Various intensities of signal degradation, i.e. out-of-focus blur and thermal noise, are simulated in order to construct realistic acquisition scenarios. Experimental evaluations, which are carried out on...
Recently, mobile devices such as smart phones and quad-copters are being equipped with inertial measurement units (IMUs) because of advances in micro-electro-mechanical systems technology. This has increased the importance of IMU- camera fusion for vision-based applications. However, ultralow-cost IMUs take much less accurate measurements than low-cost and high-cost IMUs. This uncertainty degrades...
Among the various techniques used for the detection of gaze direction, the procedure based on determining pupil or iris position using video camera connected to a computer deserves special attention. Gaze follows the movement of an item — “a target point” on the PC screen, the video camera captures the images of the eye and the PC determines the gaze position; this appears as “a map” on which the...
Exposure fusion is a high dynamic range (HDR) image generation method for directly fusing multi-exposure images of the same static scene. However, if the captured scene is dynamic with moving objects, serious ghost artefacts will appear in the moving regions of the generated HDR image. In this paper, we propose a novel ghost-free exposure fusion method based on photometric relation to detect moving...
This paper presents a framework for GPU-accelerated N-view triangulation in multi-view reconstruction that improves processing time and final reprojection error with respect to methods in the literature. The framework uses an algorithm based on optimizing an angular error-based L1 cost function and it is shown how adaptive gradient descent can be applied for convergence. The triangulation algorithm...
This paper proposes Automatic Metric Rectification of projectively distorted 3D structures for man-made scenes using Angle Regularity. Man-made scenes, such as buildings, are characterized by a profusion of mutually orthogonal planes and lines. Assuming the availability of planar segmentation, we search for the rectifying 3D homography which maximizes the number of orthogonal plane-pairs in the structure...
Ear recognition has recently gained much attention, as for surveillance scenarios identification remains feasible, in case the facial characteristic is partly or fully covered. However video footage stemming from surveillance cameras is often of low quality. In this work we investigate the impact of signal degradation, i.e. out-of-focus blur and thermal noise, on the segmentation accuracy of automated...
This paper presents a method to detect an improvised explosive device (IED) by using infrared thermography (IRT) technology. The detection of IED will be done automatically and accurately even the IED detection expert is not present. Combining the advantage of IRT and image processing technique, the proposed method is very efficient and responsive to detect the existence of hidden IED. The captured...
Time-of-flight (Tof) range imaging is a new suitable choice for measurement and modeling in many different applications such as robotics, machine vision, medical imaging, multimedia and so forth. But due to the technology's relatively new appearance on the market the knowledge of its capabilities is very low. This paper presents an uncertainty analysis for optical Tof sensors based on a four-phase-shift...
This paper proposes a method to implement an image filtering module by using 3×3 mask on FPGA. The 3×3 mask filter module has an advantage of minimizing a usage of memory and a propagation delay from input to output. Depending on coefficient value of 3×3 mask filter module, we can acquire several image processing effects such as mean filtering, median filtering, and edge enhancement. When we applied...
Vehicle speed detection is used to estimate the velocity of the moving vehicle using image and video processing techniques. Without any camera calibrations video is captured and analyzed for speed in real time. By employing frame subtraction and masking techniques, moving vehicles are segmented out. Speed is calculated using the time taken between frames and corner detected object traversed in that...
This paper proposes a technique for extracting moving object based on temporal differencing, ghost removal and shadow removal using NCC, while using a non-static Pan-Tilt-Zoom (PTZ) camera. To detect moving object in current image, the previous frame, ft-1 , is compensated with respect to the current image. The subtraction of pixel intensity is done between the two aligned images. The used of temporal...
In this paper an effective method is presented to recognize human gestures from sequences of depth images. Specifically, we propose a three dimensional motion trail model (3D-MTM) to explicitly represent the dynamics and statics of gestures in 3D space. In 2D space, the motion trail model (2D-MTM) consists of both motion information and static posture information over the gesture sequence along the...
This paper presents a novel framework for practical and accurate N-view triangulation of scene points. The algorithm is based on applying swarm optimization inside a robustly-computed bounding box, using an angular error-based L1 cost function which is more robust to outliers and less susceptible to local minima than cost functions such as L2 on reprojection error. Extensive testing on synthetic data...
We present a method for producing an accurate and compact 3-D face model in real time using a low cost RGB-D sensor like the Kinect camera. We extend and use Bump Images for highly accurate and low memory consumption 3-D reconstruction of the human face. Bump Images are generated by representing the Cartesian coordinates of points on the face in the spherical coordinate system whose origin is the...
In this paper, we describe a novel and effective single image enhancement algorithm for haze image. As we observe that, the contrast and intensity of haze image after using dark channel prior approach will unavoidably tend to be lower than those of the real scene, we proposed a method using histogram specification to make an improvement on image after dark channel prior approach. We make a large number...
Motion detection is foundation of service robot vision in Human-Robot Interaction (HRI). Foreground detection is an important step of the motion detection. If the foreground detected is not correct, the motion detected will be wrong. To improve the efficiency and robustness of motion detection for HRI, a motion detection system for HRI based on image parameters and HRI context (MDIPC system) is proposed,...
In this paper, we present a novel real-time velocity estimation algorithm. A sensor assembly consisting of a monocular camera and an inertial measurement unit with three-axis accelerotmeter and gyroscope is considered. To improve the robustness of the velocity estimator with respective to image noise, we apply a coarse-to-fine structure based on multiple feature correspondences over three consecutive...
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