the system described uses frame buffers to provide digital analogues to the traditional processes of copying pencil drawings onto cels, painting them, and photographing them. the copying process is replaced by scannin...
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In the Disk Diffusion Antibiotic Sensitivity test (the Kirby-Bauer test) a thin film of bacteria applied on a plate is subjected to various antibiotics. the Zone of inhibition is a circular area around the spot of the...
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ISBN:
(纸本)9781467382861
In the Disk Diffusion Antibiotic Sensitivity test (the Kirby-Bauer test) a thin film of bacteria applied on a plate is subjected to various antibiotics. the Zone of inhibition is a circular area around the spot of the antibiotic in which the bacteria colonies do not grow. the zone of inhibition can be used to measure the susceptibility of the bacteria to wards the antibiotic. the process of measuring the diameter of this Zone of Inhibition can be automated using imageprocessing. In this work an algorithm is developed, using computervision, which will detect the zones of inhibition of the bacteria. this work demonstrates an effective approach of measuring the Zone of Inhibition by calculating the radius of the zone by drawing contours and setting the right value of threshold. this work also determines if a particular bacteria is susceptible or resistant to the applied antibiotic using the calculated Zone of Inhibition and the prescribed standard values.
Within this framework we describe a novel technique for removing noise from digital noisy images, based on the modeling of wavelet coefficient with bivariate normal distribution and statistical calculation. A method f...
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In this paper we present a novel system for facilitating the creation of stylized view-dependent 3D animation. Our system harnesses the skill and intuition of a traditionally trained animator by providing a convivial ...
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In this paper we present a novel system for facilitating the creation of stylized view-dependent 3D animation. Our system harnesses the skill and intuition of a traditionally trained animator by providing a convivial sketch based 2D to 3D interface. A base mesh model of the character can be modified to match closely to an input sketch, with minimal user interaction. To do this, we recover the best camera from the intended view direction in the sketch using robust computervision techniques. this aligns the mesh model withthe sketch. We then deform the 3D character in two stages-first we reconstruct the best matching skeletal pose from the sketch and then we deform the mesh geometry. We introduce techniques to incorporate deformations in the view-dependent setting. this allows us to set up view-dependent models for animation.
Face recognition has attained a greater importance in biometric authentication due to its non-intrusive property of identifying individuals at varying stand-off distance. Face recognition based on multi-spectral imagi...
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ISBN:
(纸本)9781450347532
Face recognition has attained a greater importance in biometric authentication due to its non-intrusive property of identifying individuals at varying stand-off distance. Face recognition based on multi-spectral imaging has recently gained prime importance due to its ability to capture spatial and spectral information across the spectrum. Our first contribution in this paper is to use extended multi-spectral face recognition in two different age groups. the second contribution is to show empirically the performance of face recognition for two age groups. thus, in this paper, we developed a multi-spectral imaging sensor to capture facial database for two different age groups (<= 15years and >= 20years) at nine different spectral bands covering 530nm to 1000nm range. We then collected a new facial images corresponding to two different age groups comprises of 168 individuals. Extensive experimental evaluation is performed independently on two different age group databases using four different state-of-the-art face recognition algorithms. We evaluate the verification and identification rate across individual spectral bands and fused spectral band for two age groups. the obtained evaluation results shows higher recognition rate for age groups >= 20years than <= 15years, which indicates the variation in face recognition across the different age groups.
Recently, the interest in Micro Aerial Vehicles (MAVs) and their autonomous flights has increased tremendously and significant advances have been made. the monocular camera has turned out to be most popular sensing mo...
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ISBN:
(纸本)9781450347532
Recently, the interest in Micro Aerial Vehicles (MAVs) and their autonomous flights has increased tremendously and significant advances have been made. the monocular camera has turned out to be most popular sensing modality for MAVs as it is light-weight, does not consume more power, and encodes rich information about the environment around. In this paper, we present DeepFly, our framework for autonomous navigation of a quadcopter equipped with monocular camera. the navigable space detection and waypoint selection are fundamental components of autonomous navigation system. they have broader meaning than just detecting and avoiding immediate obstacles. Finding the navigable space emphasizes equally on avoiding obstacles and detecting ideal regions to move next to. the ideal region can be defined by two properties: 1) All the points in the region have approximately same high depth value and 2) the area covered by the points of the region in the disparity map is considerably large. the waypoints selected from these navigable spaces assure collision-free path which is safer than path obtained from other waypoint selection methods which do not consider neighboring information. In our approach, we obtain a dense disparity map by performing a translation maneuver. this disparity map is input to a deep neural network which predicts bounding boxes for multiple navigable regions. Our deep convolutional neural network with shortcut connections regresses variable number of outputs without any complex architectural add on. Our autonomous navigation approach has been successfully tested in both indoors and outdoors environment and in range of lighting conditions.
In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS da...
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ISBN:
(纸本)9781467389105
In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS database and existing databases is given. Baseline results for both of the protocols are presented.
Detecting manipulated images has become an important problem in many domains (including medical imaging, forensics, journalism and scientific publication) largely due to the recent success of image synthesis technique...
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Detecting manipulated images has become an important problem in many domains (including medical imaging, forensics, journalism and scientific publication) largely due to the recent success of image synthesis techniques and the accessibility of image editing software. Many previous signal-processing techniques are concerned about finding forgery through simple transformation (e.g. resizing, rotating, or scaling), yet little attention is given to examining the semantic content of an image, which is the main issue in recent image forgeries. Here, we present a complete workflow for finding the anomalies within images by combining the methods known in computergraphics and artificial intelligence. We first find perceptually meaningful regions using an image segmentation technique and classify these regions based on image statistics. We then use AI common-sense reasoning techniques to find ambiguities and anomalies within an image as well as perform reasoning across a corpus of images to identify a semantically based candidate list of potential fraudulent images. Our method introduces a novel framework for forensic reasoning, which allows detection of image tampering, even with nearly flawless mathematical techniques. (c) 2006 DFRWS. Published by Elsevier Ltd. All rights reserved.
Multispectral multifocus image fusion remains a challenging problem for the researchers in the computervision community. In this paper, we propose a novel solution to the above problem using guided filtering, steerab...
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ISBN:
(纸本)1595930361
Multispectral multifocus image fusion remains a challenging problem for the researchers in the computervision community. In this paper, we propose a novel solution to the above problem using guided filtering, steerable local frequency and an improved model of saliency. In the first place, promising fusion results are obtained through guided steerable local frequency maps. An accurate saliency map is developed next to further enhance these fusion results. Extensive experimentation on the visual, near infrared and thermal spectra clearly demonstrate the superiority of the proposed approach over some of the recently published works. Copyright 2014 ACM.
this two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International conference on computervision and imageprocessing, CVIP 2021, held in Rupnagar, India, in December 2021...
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ISBN:
(数字)9783031113468
ISBN:
(纸本)9783031113451
this two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International conference on computervision and imageprocessing, CVIP 2021, held in Rupnagar, India, in December 2021.;the 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. the papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
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