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The ZiYuan-3 (ZY-3) satellite is China's first civilian high-resolution stereo mapping satellite. The revisit cycle of the ZY-3 satellite is only five days, which means that ZY-3 multi-temporal images are easily available. In this study, the block adjustment of 12 multi-temporal datasets of ZY-3 three-line camera images without ground control points (GCPs) is tested and reported. The bias-compensated...
UAV is widely used in military and civil fields, and autonomous landing navigation technology is the key technology of UAV. Traditional navigation technology such as GPS and INS can't meet the navigation requirements of the landing stage due to the influence of precision and disturbance. Visual navigation has the advantages of strong anti-interference ability, high precision, low cost and low power...
Calibration of color and infra-red cameras is the fundamental step in almost every 2D or 3D image processing applications and pre-processing of images and videos. This article presents a novel method for estimation of 19 parameters of RGB and depth camera calibration in Kinect sensor, simultaneously. The proposed algorithm is based on applying shuffled frog leaping algorithm (SFLA) for deep optimization...
In this digital information explosion era, more and more products are proposed to enhance the quality and convenience of our life. However, vision-based hand gesture recognition is still a challenging problem to overcome. In this paper, an architecture system was proposed with dual-camera to construct the depth map and recognize dynamic hand gesture. It contains one static and two dynamic hand gestures...
Autonomous localization is a challenge for small UAVs in the environment where GPS signal is unavailable. In this paper, we propose a novel autonomous localization algorithm for small UAVs without map construction. In the proposed method, the information of onboard camera, pressure sensor and orientation sensor are integrated together based on Kalman filter model under the visual odometry framework...
With the rapid improvement of three-dimensional scanner hardware technology, the accuracy of the point cloud is getting higher and higher, so the number of point-clouds is increasing shar ply, which greatly affects the speed and performance of point-cloud registration. Based on feature matching and ICP algorithm, a 3D point-cloud model stitching algorithm by using Kinect sensors scanning was proposed...
Machine vision has been widely and efficiently used for various industrial applications. However, in marine applications, this technology is still facing big challenges due to the free-swimming nature and unpredictable behavior of the fish. This paper presents new models for length estimation of small-size free-swimming fish objects using low-cost machine vision system. These models include two camera...
Multi-frame image super-resolution (SR) is an image processing technology applicable to any digital, pixilated camera that is limited, by construction, to a certain number of pixels. The objective of SR is to utilize signal processing to overcome the physical limitation and emulate the “capabilities” of a camera with a higher-density pixel array. SR is well known to be an ill-posed problem and, consequently,...
Foreground segmentation/background subtraction is a vital step in many high-level video analysis applications. While many methods have been proposed for foreground segmentation, most assume the cameras to be stationary. With this assumption, they are unable to handle the movements caused by camera rotation. In this paper, we propose a robust hybrid-sample-based foreground segmentation method for moving...
Traditionally, pose estimation is considered as a two step problem. First, feature correspondences are determined by direct comparison of image patches, or by associating feature descriptors. In a second step, the relative pose and the coordinates of corresponding points are estimated, most often by minimizing the reprojection error (RPE). RPE optimization is based on a loss function that is merely...
Due to the spread of smartphones and tablet devices, many photographs are uploaded and shared on the Internet. Cameras often have sensors such as GPS and digital compass. These sensor data are attached to photograph data as metadata. Metadata is helpful to retrieve photographs that show the designated points. For this request, existing systems search the photographs taken in constant distance from...
First, combine depth information with 2D gray image information to obtain samples, while adjusting their contribution for the samples. Use SAE to get head gesture recognition model. Finally, test the accuracy of recognition model. The proposed method unlike the some traditional methods–use CNN to cope with RGB-D image requiring GPU support, PC can fulfill all experimental procedures. The best result...
Unmanned Aerial Vehicles are currently gaining widespread adoption in multiple roles. In this paper, we proposes obstacle detection algorithm for unmanned aerial vehicles using stereoscopic vision. Depth of objects in the image could be calculated. There is also another important property of image captured by a stereo camera; if an object is at a certain position it will appear at a certain combination...
A Smart-Eye platform is a technology that detects disasters (e.g., forest fire, flood) and responds them quickly. In the Smart-Eye, an unmanned aerial vehicle (UAV) is used to monitor the disasters in real time, where the UAV is equipped with a camera and multiple sensors, since it can go into hazards (i.e., unsafe areas to humans) cost-effectively. However, since the UAV has flight time of 10~25...
This paper presents a mechatronics setup based on a reaction wheel inverted pendulum (RWIP). The novelty of this setup is the use of visual feedback (VF) to control a RWIP while the use of a low-cost camera to achieve control was the main motivating factor. The physical parameters that affect the bandwidth were identified from a mathematical model. In turn, relationships between the system bandwidth...
The digital image processing has got much attention of the researchers towards development of automatic optical character recognition system. The image analysis of documents mainly focused on printed and handwritten document images. In printed document image analysis, the input image is that of machine printed document, where as in handwritten document image analysis, it is of document handwritten...
In the recent years', image processing is becoming an important field in computer science. Also, interaction between human and computer is in increasing rate. Nowadays image processing used in many application for example application like measuring the distance between systems that consist of a camera and objects around the system using Stereo vision. Some previous studies use pixel by pixel search...
This article describes an estimation method for the camera pose through stereo vision. This method allows not only the camera localization, and trajectory finding, but also the realization of a map of characteristics. The proposed algorithm is based on the trilateration method for n spheres and its iterative implementation to solve 3D-3D Visual Odometry. To detect keypoints, SIFT algorithm is used...
A vision based tracking algorithm was developed for active load damping on a 1/9th scale extending boom crane using the Microsoft Xbox 360 Kinect RGB-D camera. The damping performance was compared to the IMU approach based on the Microstrain Inertia Link sensor. With the IMU solution, the radial damping ratio was improved by a factor of 2.2 and an order of magnitude in the tangential direction. The...
Human's gaze direction is a useful cue to understand his/her attention and interest. There are many kinds of eye tracking devices, but they are usually unavailable for people observed in surveillance views because they are located too far to observe their eyeballs. If we could know the gaze direction from such surveillance views, it should be very effective for many applications. Our research objective...
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