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Use of leaf colour for drought stress analysis in rice

Use of leaf colour for drought stress analysis in rice

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Swati Bhugra Santanu Chaudhury Brejesh Lall Department of Electrical Engineering Indian Institute of Technology Delhi

We propose a novel approach of utilizing phenomic traits to automatically quantify stress in plants using machine learning techniques. Moisture deficit conditions cause change in leaf color due to decrease in chlorophyll content as chloroplast is damaged by active oxygen species. Therefore, the proposed technique uses leaf color as the phenomic trait to assess stress levels using Relative water content (RWC) as a quantitative proxy. We extracted the change in leaf color in response to drought stress using the color features obtained using Random forest. A regressor has been modeled to predict the stress level of rice genotypes via RWC by employing colour histogram as a feature vector. The experiment was performed with pot images of different rice genotypes under normal and drought stressed conditions. We report a correlation coefficient of 0.89 obtained using this model demonstrating the capability of the presented technique for stress level predictions.

关键词： image color analysis Stress Feature extraction Histograms Estimation Predictive models image segmentation

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A novel approach for image dehazing combining visible-NIR images

A novel approach for image dehazing combining visible-NIR im...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ashish V. Vanmali Samrudha G. Kelkar Vikram M. Gadre Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai India

image dehazing either using single visible image or using visible and near-infrared (NIR) image pair has seen growing interest in last decade for improving visibility in landscape photographs. In this paper, we propose a novel approach for image dehazing scheme using a pair of visible and NIR images. The dehazing mechanism estimates depth map and airlight color using the visible-NIR scene statistics and uses them to form a haze-free image. Experiments on a variety of hazy images demonstrate that our method achieves high degree of detail recovery over the existing image dehazing algorithms. The resultant images exhibit a very good blend of details, contrast and color. The proposed algorithm is less computationally demanding and is fully automatic. The results are superior in both visual as well as quantitative analysis compared to state-of-the-art image dehazing algorithms.

关键词： image color analysis Estimation Color Channel estimation Attenuation Databases Algorithm design and analysis

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MP-FEG: Media Player controlled by Facial Expressions and Gestures

MP-FEG: Media Player controlled by Facial Expressions and Ge...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Swapna Agarwal Saiyed Umer Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata

In this paper we represent a new technique to interact with the computer in a non-tangible way. Specifically we have designed a Media Player system controller by Facial Expressions and Gestures (MP-FEG). We detect and track one landmark point on the finger and 18 landmark points on the lips to capture the movement of the finger and the lips of the user. The movement patterns are classified into hand gestures and facial expressions using support vector machine (SVM). We have achieved ~98.65% and ~100% recognition accuracies for hand-gestures and facial expressions respectively. Occurrence of each of these actions (5 hand-gesturs and 3 facial expressions) is associated with a command to control (e.g., to select, play, pause the video) the video player. Perceptional quality analysis by user survey rates the experience of the non-tangible human-computer-interaction facilited by the proposed technique as `good'.

关键词： Feature extraction Face recognition Support vector machines computers Media Lips Gesture recognition

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Cross-modal attribute based facial image retrieval

Cross-modal attribute based facial image retrieval

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Dasharath Mali Soma Biswas Department of Electrical Engineering Indian Institute of Science Bangalore India

Attribute-based facial image retrieval has wide range of applications, such as in law enforcement, online social networks, etc. The problem becomes more challenging if the images are from different modalities. For example, the input is a sketch or a composite image, and the task is to retrieve photo images which have the same facial attributes as the input data. In this work, we propose a learning-based approach, in which two transformations are learnt to transform the training images from the two modalities with associated attribute annotations such that images which have similar attributes move closer to each other, and images with very different attributes move farther from each other in the transformed space. Given a query image, it is first transformed to the learnt space in which the images with similar attributes are retrieved. The same framework works seamlessly if the images to be retrieved are of same or different modality as compared to the query data. The attributes of the query image are also automatically obtained as a byproduct of the algorithm. Extensive experimental evaluation on three datasets shows the effectiveness of the proposed approach.

关键词： image retrieval Training Face Mouth Testing Law enforcement

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Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor

Weighted Fast Dynamic Time Warping based multi-view human ac...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Ishan Agarwal Alok Kumar Singh Kushwaha Rajeev Srivastava Department of Computer Sc. and Engineering Jaypee Institute of Information Technology Noida UP India Indian Institute of Technology Delhi New Delhi Delhi IN Department of Computer Sc. and Engineering Indian Institute of Technology (BHU) Varanasi UP India

In this paper, a real time multi-view human activity recognition model using a RGB-D (Red Green Blue-Depth) sensor is proposed. The method receives as input RGB-D data streams in real time from a Kinect for Windows V2 sensor. Initially, a skeleton-tracking algorithm is applied which gives 3D joint information of 25 unique joints. The presented approach uses a weighted version of the Fast Dynamic Time Warping that weighs the importance of each skeleton joint towards the Dynamic Time Warping (DTW) similarity cost. To recognize multi-view human activities, the weighted Dynamic Time Warping warps a time sequence of joint positions to reference time sequences and produces a similarity value. Experimental results demonstrate that the proposed method is robust, flexible and efficient with respect to multiple views activity recognition, scale and phase variations activities at different realistic scenes.

关键词： Time series analysis Heuristic algorithms Real-time systems Cameras Robustness computers image recognition

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Tri-modal biometric fusion for human authentication by tracking Differential Code Pattern

Tri-modal biometric fusion for human authentication by track...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Aditya Nigam Phalguni Gupta School of Computing and Electrical Engineering Indian Institute of Technology Mandi India CSE Department NITTTR Kolkata Salt Lake India

Human authentication can now be seen as a crucial social problem. In this paper a multimodal authentication system is presented which is highly reliable and fuses iris, finger-knuckle-print and palmprint image matching scores. Segmented ROI are preprocessed using DCP (Differential Code Pattern) to obtain robust corner features. Later they are matched using the GOF (Global Optical Flow) based dissimilarity measure. The proposed system has been tested on Casia Interval and Lamp iris, PolyU finger-knuckle-print and PolyU and Casia palmprint, public databases. The proposed system has shown good performance over all unimodal databases while over multimodal (fusion of all three) databases it has shown perfect performance (i.e. CRR = 100% with EER = 0%).

关键词： Databases Iris recognition Optical imaging Iris Feature extraction Biomedical optical imaging

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Place of articulation from direct imaging for validation of its estimation from speech analysis for use in speech training

Place of articulation from direct imaging for validation of ...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： K. S. Nataraj Prem C. Pandey Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

Place of articulation obtained by analysis of the speech signal is useful for visual feedback of articulatory efforts for speech training of hearing impaired children and for improving pronunciation by learners of second languages. Its estimation by direct imaging of the oral cavity is needed for validating the estimation from the speech signal. For such applications, an automated technique is presented for estimating the place of articulation by graphical processing of the upper and lower contours of the oral cavity image. It iteratively estimates the axial curve as an axis of symmetry of the oral cavity, such that the curve approximately bisects the normals to it. Distance between the contours along the normal to the axial curve gives the oral cavity opening and position of the smallest opening provides the place of articulation. The values estimated using the automated technique closely matched those obtained by manual marking of the visually estimated place of maximum constriction for the oral cavity images of vowels, stops, and fricatives, from the XRMB and MRI databases.

关键词： Cavity resonators Speech Magnetic resonance imaging Databases Estimation image segmentation

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Multimodal image registration of lung images

Multimodal image registration of lung images

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Bijju Kranthi Veduruparthi Jayanta Mukherjee Partha Pratim Das Sanjoy Chatterjee Soumendranath Ray Partha Sen Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Nuclear Medicine Department Tata Medical Center Kolkata

Lung tumor estimation on imaging modalities is required to assess the extent of the tumor for diagnosis. Segmentation of tumor in Cone-Beam Computed Tomography (CBCT) images is non-trivial due to its imaging artifacts. Here we propose a novel technique for image registration of 18-Fluoro deoxyglucose Positron Emission Tomography (PET) and Computed Tomography(CT) images with CBCT images. The computation is performed in two stages. In the first stage, mutual information based rigid image registration is performed to obtain a rough global alignment of CBCT image with the corresponding PET and CT images. This result is fed to the second stage to perform deformable image registration between a pair of corresponding CBCT volumes of the same patient captures at different time instances using a viscous fluid model. The technique is adapted in both 2D (for slicewise computation) and 3D space (for computing with volume), and a comparative performance is presented with a simulated deformation model.

关键词： Computed tomography Positron emission tomography Tumors Mutual information Three-dimensional displays image registration

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A novel stereo matching approach for pedestrian re-identification

A novel stereo matching approach for pedestrian re-identific...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Soma Biswas Department of Electrical Engineering Indian Institute of Science Bangalore India

Automatic and reliable identification of pedestrians from multiple camera views is very important for video surveillance and can save a lot of manual effort. The significant variations in viewpoints, poses, illumination and occlusions makes this problem very challenging. Most of the existing approaches addressing this problem handle drastic viewpoint change in a supervised way and thus require labelling new training data for a different pair of camera views. In this paper, we present a novel approach for pedestrian re-identification using stereo matching, which does not require any kind of training. The cost of the stereo matching of two images is used for evaluating the similarity of the images, without performing 3-D reconstruction. We show that this cost is robust to the large pose variations observed in the images captured from multiple cameras. The proposed pedestrian re-identification algorithm is built on top of a dynamic programming stereo matching algorithm. Experimental evaluation on the challenging VIPeR dataset shows the effectiveness of the proposed approach.

关键词： Cameras image color analysis Histograms Heuristic algorithms Lighting Robustness computer aided manufacturing

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Adaptive crypto-steganosystem for videos based on information content and visual perception

Adaptive crypto-steganosystem for videos based on informatio...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Prerana Mukherjee Siddharth Srivastava Brejesh Lall Saisha Asolkar Meera Pai Indian Institute of Technology Delhi India National Institute of Technology Goa India

Steganography is the art of hiding secret data inside a carrier media. Most steganographic techniques suffer from the drawback that they are unable to retain the perceptual quality. Using saliency cues for developing an adaptive steganographic technique can help to alleviate this problem. In this work, a novel perception driven robust crypto-steganographic algorithm is proposed for embedding secure data in videos. The proposed scheme selects the payload regions based on natural scene statistics. To further strengthen the scheme and ensure intractability of secure data, the encrypted secret data is embedded in a random manner using jumbling sequence generator in the frames. We utilize perceptual hashing to evaluate the number of bit insertions that will not compromise the perceptual quality. A comprehensive performance evaluation of the proposed scheme is provided to detail the effectiveness. We demonstrate that the scheme shows a lot of promise in being robust against statistical and saliency based attacks.

关键词： Videos Payloads Encryption Generators Robustness Public key

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