A novel method for face recognition system using challenging profile and frontal faces is proposed in this paper. the proposed face recognition system consists of pre-processing, feature extraction and classification ...
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ISBN:
(纸本)9781467385640
A novel method for face recognition system using challenging profile and frontal faces is proposed in this paper. the proposed face recognition system consists of pre-processing, feature extraction and classification components. In this work, for pre-processing, the face region is extracted using facial landmark points, obtained by the tree structured part model. During feature extraction, SIFT descriptors are computed from the detected face region, and Spatial Pyramid Matching approach based on Locality constraints Linear Coding technique is employed for feature representation. Finally multi-class linear SVM classifier is employed to do the classification job. Extensive experimental results have been performed to show that the proposed algorithm has satisfying performance as compared to existing methods for IITK, CASIA-FACE-V5, LIBOR, ORL and Extended YALE-B face databases.
Speckle pattern forms as a result of constructive and destructive interference due to the phase difference involved in multiple backscattered photons. In coherent optical probing, speckle has a dual role as an insidio...
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ISBN:
(纸本)9781479915880
Speckle pattern forms as a result of constructive and destructive interference due to the phase difference involved in multiple backscattered photons. In coherent optical probing, speckle has a dual role as an insidious form of noise as well as a source of information for sample microstructure. this paper focuses on designing of a multiscale noise adaptive homomorphic filter (MNAHF) for speckle noise reduction (keeping the signal-carrying speckle) in laser speckle imaging (LSI). the operation has been performed based on the calculation of local statistics within a sliding window region over a successive number of time frames. It has been shown that MNAHF outperforms other speckle denoising filters from the point of image quality assessment and better visualization. It exhibits lower mean square error and Minkowski metric values with better image quality, intact structural similarity and superior signal to noise ratio relative to others. therefore, over a wider spectrum, this work brings out the scope of speckle noise reduction prior to further large scale processing for automated segmentation, texture analysis and image based classification techniques in clinical study of laser speckle images.
Specular reflection of light degrades the quality of scene images. Whenever specular reflection affects the text portion of such an image, its readability is reduced significantly. Consequently, it becomes difficult f...
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ISBN:
(纸本)9781479915880
Specular reflection of light degrades the quality of scene images. Whenever specular reflection affects the text portion of such an image, its readability is reduced significantly. Consequently, it becomes difficult for an OCR software to detect and recognize similar texts. In the present work, we propose a novel but simple technique to enhance the region of the image with specular reflection. the pixels with specular reflection were identified in YUV color plane. In the next step, it enhances the region by interpolating possible pixel values in YUV space. the proposed method has been compared against a few existing general purpose image enhancement techniques which include (i) histogram equalization, (ii) gamma correction and (iii) Laplacian filter based enhancement method. the proposed approach has been tested on some images from ICDAR 2003 Robust Reading Competition image database. We computed a Mean Opinion Score based measure to show that the proposed method outperforms the existing enhancement techniques for enhancement of readability of texts in images affected by specular reflection.
In the present work, we propose a framework for retrieving metric information of featureless cylindrical pellet imaged through stereo vision. Considering the isometry property, relative affine structure which is an in...
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ISBN:
(纸本)9781467385640
In the present work, we propose a framework for retrieving metric information of featureless cylindrical pellet imaged through stereo vision. Considering the isometry property, relative affine structure which is an invariant that depends on the depth of the point is employed for obtaining the information. this method skips considering vanishing points for depth estimation, and hence the errors are reduced remarkably as no points are assumed to be at infinity. Real world measurements are taken and the metrics of a selected reference point is assumed to be known. Withthese minimal information the mapping between the images using the relative affine structure is carried out that enables the 3D reconstruction. this work also blends the concepts of 360 degree rotational symmetry and orthogonal planes withthe stereo visionthat has minimized the error percentage. the results presented by the theory will have an impact on the design of 3D reconstruction systems for computervision and its applications.
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 exa...
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ISBN:
(纸本)9781467385640
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.
this paper investigates a novel motion vector outlier rejection method based on using mean shift clustering on block motion vectors. the accuracy of compressed domain global motion estimation techniques is largely inf...
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ISBN:
(纸本)9781479915880
this paper investigates a novel motion vector outlier rejection method based on using mean shift clustering on block motion vectors. the accuracy of compressed domain global motion estimation techniques is largely influenced by its ability to counter the outlier motion vectors. these outliers occur in the block motion vector field due to moving objects, noise or due to large matching errors as a result of the encoders priority on rate distortion optimization. In the present work it is shown that by using mean shift clustering on block motion vectors, those clusters which correspond to outlier motion vectors can be identified. Once detected these clusters are kept out of the global motion estimation process thereby increasing the robustness of estimated camera parameters. the proposed method is compared with existing state-of-the-art outlier removal methods using synthetic and real video sequences to establish and validate its superiority.
Wavelet transform of the image generates the different components basically classified in the approximation and detail components. the approximation component has major information. In this paper a partial encryption ...
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ISBN:
(纸本)9781467385640
Wavelet transform of the image generates the different components basically classified in the approximation and detail components. the approximation component has major information. In this paper a partial encryption technique is used, using only approximation component. In this paper a random array is generated which is XORed withthe approximation component. the inverse transform of the matrix generated by this operation generates the encrypted image. the random array, the wavelet used and level of wavelet transform jointly serves as the key for the decryption process. In decryption is just reverse of the encryption steps.
Goldfish scooping is one of the traditional Japanese play. In general, people scoop goldfish in a shallow water tank using a fragile water-thin dipper. In this paper, we describe virtual goldfish scooping system using...
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ISBN:
(纸本)9788086943985
Goldfish scooping is one of the traditional Japanese play. In general, people scoop goldfish in a shallow water tank using a fragile water-thin dipper. In this paper, we describe virtual goldfish scooping system using haptic device and stereoscopic display.
Automatic number plate recognition(ANPR) techniques occupy a significant role in intelligent traffic management systems. Most of the existing ANPR systems do not perform well under conditions like high vehicle speed, ...
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ISBN:
(纸本)9781479915880
Automatic number plate recognition(ANPR) techniques occupy a significant role in intelligent traffic management systems. Most of the existing ANPR systems do not perform well under conditions like high vehicle speed, varying illuminations, changing back ground etc. In this paper we propose an ANPR technique which efficiently solves the above issues using the stroke width transform. In our method, first we pre-process the image to remove blurring artifacts. then the significant edges in the image are detected and a new image is formed by grouping the connecting rays. this is followed by morphological processing which detects the letters in the image. then an appropriate Optical Character Recognizer (OCR) recovers the final result. Experimental results show that the proposed method work effectively under varying light conditions and even in the presence of shadows.
Human face anthropometric measurements are used in forensics, orthodontics, face modelling and many other domains, wherein distance between set of facial landmarks play an important role to make inferences. 3D facial ...
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ISBN:
(纸本)9781467385640
Human face anthropometric measurements are used in forensics, orthodontics, face modelling and many other domains, wherein distance between set of facial landmarks play an important role to make inferences. 3D facial data captured using specialized acquisition methods can be used to reduce the time and tedious task involved in order to compute these measurements. the proposed method is developed to compute fifteen canonical linear measurements between facial landmarks using Kinect camera. Results obtained from this system are compared withthe traditional method of measurement using digital Vernier caliper. the experimental results indicate that measurements using RGB-D data obtained from Kinect are good enough for a quick preliminary assessment of the subject as compared to traditional method.
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