Optical lenses installed in most imaging devices suffer from the limited depth of field due to which objects get imaged with varying sharpness and details, thereby losing essential information. To cope with the proble...
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In this paper, we propose an algorithm to process a sequence of images of a moving object in a complex background to obtain a single noise-free image of this object. We present an efficient software implementation of ...
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- image Inpainting is the art of reconstruct missing areas. It is used to fix any damage in the images by removing the damage and filling this region based on estimating background. Background estimation is used to in...
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Dicentric chromosomes can form in cells because of exposure to radioactivity. They differ from the regular chromosomes in that they have an extra centromere where the sister chromatids fuse. In this paper we work on c...
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Note-taking methods and devices have improved tremendously over the past few decades, and people are finding new ways to write notes and take photos. Automatic extraction, recognition, and retrieval are necessary to p...
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A large number of sophisticated, yet easily accessible computer graphics softwares (STUDIO MAX, 3D MAYA, etc.) have been developed in the recent past. The images generated with these softwares appear to be realistic a...
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Human interaction recognition can be used in video surveillance to recognise human behaviour. The goal of this research is to classify human interaction by converting video snippets into dynamic images and deep CNN ar...
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We propose a stereo vision hardware solution for image matching in real-time. Previous systems use dedicated special-purpose hardware and report different results in terms of performance, cost and quality. This work a...
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ISBN:
(纸本)9781509038985
We propose a stereo vision hardware solution for image matching in real-time. Previous systems use dedicated special-purpose hardware and report different results in terms of performance, cost and quality. This work aims to build a library of hardware components for stereo vision systems, which can be ported to different architectures implemented in FPGA. Some modules were optimized in terms of FPGA resources used inside the chip. Meanwhile the ratio between the clock rate obtained for each component and the maximum frequency allowed by the FPGA was improved. We also introduce a multi-cycle pipeline implementation for SAD-based image matching, which facilitates a trade-off between chip area usage and operating speed.
Intrinsic image decomposition is an important topic in computervision and computer graphics applications. However, this is a challenging problem by adopting the information of a single image. Therefore, additional pr...
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ISBN:
(纸本)9781467399616
Intrinsic image decomposition is an important topic in computervision and computer graphics applications. However, this is a challenging problem by adopting the information of a single image. Therefore, additional priors or supplementary information such as multiply images or user interactions are necessary to address this problem. In this paper, we propose a novel scheme to use multiple images for intrinsic image decomposition, based on a similar strategy in robust principal component analysis (RPCA). RPCA utilizes the fact that the reflectance layer is common in multiple lights of a scene, and attempts to decompose the data matrix constructed from input images into a low-rank matrix and a sparse matrix. This is possible if the sparse matrix is sufficiently sparse, which is often not the case in computervision applications. Moreover, the weighting parameter between the low-rank and sparse matrices greatly affects the accuracy of the results, and tuning this parameter can be tricky. This paper proposes a rank-constrained PCA algorithm (RCPCA) for solving background recovering problems. Fixing the rank of the low-rank matrix to be 1 allows RCPCA to better recover the low-rank matrix from the data matrix. Comprehensive tests show that RCPCA produces more stable and accurate results than RP CA.
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