The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A life log is a record of human life and behavior as digital data. In recent years, it has become possible to collect easily life logs by wearable devices. There is reflection of information as one of usage of these life logs. Among them, reflection by images is easy to understand. However, when recording for a long time by automatic photographing, the number of images becomes enormous, and it is...
India considers agriculture as it back bone in terms of economy. Every tree originates from seed and saplings are considered to be a small tree. Sapling stage is considered to be sensitive as it is more prone to diseases. Saplings require utmost care for it to have a healthy growth. This project is carried out to implement an Automatic plant health checking vehicle with the help of MATLAB where a...
Traditional, the hardcopy of cadastral map is an important historical evidence for the land parcels information in the Land Office. However, the paper is not easy to save and the size of the scanner is not large enough for digital storage either. In this study, multi-view image processing technology is applied to create a true ortho-photo of cadastral map for solving the storage problem.
We demonstrate a personalized user authentication mechanism based on first-person-view videos. Our proposed algorithm forms temporary image-based authentication challenges which benefit a variety of purposes such as unlocking a mobile device or fallback authentication. First, representative frames are extracted from the egocentric videos. Then, they are split into distinguishable segments before repetitive...
In this paper, we analyse first-person-view videos to develop a personalized user authentication mechanism. Our proposed algorithm generates provisional image-based passwords which benefit a variety of purposes such as unlocking a mobile device or fallback authentication. First, representative frames are extracted from the egocentric videos. Then, they are split into distinguishable segments before...
In this paper, we propose a hardware compatible queue-based image segmentation algorithm for refining initial depth maps obtained from light field cameras. In the algorithm, an array is created to record the ranges of positions and intensities of possible segments, which make following segment merging steps much more efficient. An ASIC chip based on the proposed algorithm with a plane fitting calculator...
Image retargeting methods change the size of images to an arbitrary resolution while protecting visually important regions from distortion. Since retargeting methods deform contents of an image based on these importance, importance calculation methods suitable for image retargeting is needed. In this paper, we propose a framework to improve an importance map by using depth and segmentation information...
Today image processing and utilizations based on RGB-D data have huge interest in various research areas. Regarding segmentation, colour correction, depth information, comprehensive description of 3-Dimension scenes in RGB-Depth data provides useful hints from another dimension to segregate substance in close colours. Here, super pixel segmentation based a new method is discussed to resolve such mixed,...
In recent years, road markings detection has received great attention and has been widely explored due to the aim of producing a system that is able to detect various shape of road markings on the images that are captured under various imaging conditions. Generally, the road images are captured using a camera, which has been placed inside the vehicle at a fixed position. However, the quality of the...
Powered by the pervasive penetration of inexpensive mobile devices and relevant APP's into our daily life, QR codes have found a wide range of applications in recent years. Therefore, the processing of the images of QR codes (also referred to as QR images) is an important task. In this paper, we try to deal with the scenario wherein the QR code is printed or pasted (altogether also referred to as...
This paper uses the somatosensory system of Kinect to realize the hand gesture recognition involving action and digit of finger. The hand action is completed by using the NiTE library owning the framework of hand gesture recognition. Taking advantage of the information of the depth map, the digit expressed by hand is recognized by using OpenCV library. The simulated results demonstrate the work is...
Depth information can be obtained using stereo matching algorithms, which compute the horizontal displacement (disparity) of the corresponding points and convert to depth information using the triangular relation. However, the matching process is challenging with presence of textureless regions. This paper proposes a novel disparity refinement method for stereo matching based on Semi-global Matching...
This paper proposes an unsupervised technique for detecting planar surfaces on single depth map image. The proposed method can detect planar surfaces by adopting dynamic seed growing technique without using texture information. So aided with this mechanism to control the growing process, each seed patch can grow to its maximum extent and then the next seed patch begins to grow. This process avoids...
In this paper, we present a background subtraction (BS) technique based on the fusion of thermal and visible imagery using an adaptive Gaussian mixture models (GMM). We investigate how to effectively combine thermal and visible information to optimize the segmentation accuracy. Pixel-level fusion strategies combining different color spaces and image representations are addressed. The standard GMM...
Our earlier lane-marking detection method identified lane-markings appearing on an input image based on the intensity contrast between lane-markings pixels and their neighboring pixels. This detection results in outputs with nearly-zero false negatives, but with many false positives. To filter out these false positives in a principled way, we utilize the driving direction of a roadway. We do this...
This paper proposes a novel method for detecting hand-raising gestures in meeting room and classroom environments. The proposed method first detects faces in each frame of the video sequence in order to define the region of interest (ROI). Then the system locates arms in the region of interest by analyzing the geometric structure of edges on the arm instead of directly detecting the hand. The location...
Recently announced RGB-D cameras like Microsoft Kinect are attractive sensing systems providing RGB images along with registered depth information at a high frame rate. This advantage makes such cameras greatly useful in the context of robotics, especially for dense 3D mapping in home environment. However, depth information they provide is usually incomplete and imprecise. This paper presents a method...
Given video from a single camera, conversion to two-view stereoscopic 3D is a challenging problem. We present a system to automatically create high quality stereoscopic video from monoscopic footage of field-based sports by exploiting context-specific priors, such as the ground plane, player size and known background. Our main contribution is a novel technique that constructs per-shot panoramas to...
This paper presents an approach for personal identification using hand geometrical features, in which the infrared illumination device is employed to improve the usability of this hand recognition system. In the proposed system, prospective users can place their hands freely in front of the camera without any pegs or templates. The system can also work in normal environment, since no dark background...
In this paper, we propose an automatic method to extract a foreground object captured from multiple viewpoints. We consider the foreground object is within the visual hull of camera field of views. By exploring the multi-view geometric relationship and color measurements of the input images, we can estimate the foreground segmentations as well as their fractional boundaries. To facilitate efficient...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.