Computer Graphics, Imaging and Visualization最新文献

{"title":"A Hybrid Convex Hull Algorithm for Fingertips Detection","authors":"Bo Shen Woun, Guat Yew Tan, Miin Huey Ang, Ya-Ping Wong","doi":"10.1109/CGIV.2014.17","DOIUrl":"https://doi.org/10.1109/CGIV.2014.17","url":null,"abstract":"Convex hull vertices extraction from a binary image to detect fingertips always involves multi-step pre-processing algorithm such as edge detection algorithms, before the actual convex hull algorithm can be applied on the image. The pre-processing steps often take up much computational resources. In this paper, we endeavour to reduce the computational resources by introducing a hybrid convex hull algorithm, which is able to extract the convex hull vertices directly from a binary image without going through the edge detection process. Bresenham algorithm is embedded within Jarvis March to replace most of the work required in the edge detection process. In this respect, our pre-processing step is simple and detect only four global extreme points' extraction. The new algorithm yields time complexity of O(N2).","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114638414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What makes a good picture? Reflections on image quality research","authors":"Geoffrey J. Woolfe","doi":"10.2352/cgiv.2012.6.1.art00055","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00055","url":null,"abstract":"","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Representing Outliers for Improved Multi-Spectral Data Reduction","authors":"Farnaz Agahian, B. Funt, S. H. Amirshahi","doi":"10.2352/cgiv.2012.6.1.art00064","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00064","url":null,"abstract":"Large multi-spectral datasets such as those created by multi-spectral images require a lot of data storage. Compression of these data is therefore an important problem. A common approach is to use principal components analysis (PCA) as a way of reducing the data requirements as part of a lossy compression strategy. In this paper, we employ the fast MCD (Minimum Covariance Determinant) algorithm, as a highly robust estimator of multivariate mean and covariance, to detect outlier spectra in a multi-spectral image. We then show that by removing the outliers from the main dataset, the performance of PCA in spectral compression significantly increases. However, since outlier spectra are a part of the image, they cannot simply be ignored. Our strategy is to cluster the outliers into a small number of groups and then compress each group separately using its own cluster-specific PCAderived bases. Overall, we show that significantly better compression can be achieved with this approach. Introduction Conventional 3-channel image color imaging devices capture limited spectral information about each scene location. RGB images are device-dependent in that they depend on the spectral sensitivity functions, which may differ from one device to another. In addition, the RGB color information depends on the scene illuminant. A change in illuminant leads to the problems of metamerism. The limitations of 3-channel color imagery, especially when high-fidelity color reproduction is required as, for example, in the reproduction and conservation of fine arts painting, are frequently overcome by moving to multi-spectral image capture [1-4]. The spectral reflectance defines an excellent “fingerprint” of a surface and provides the most useful information for color specification under any illuminant and for any observer. In the last decade, multi-spectral imaging has gained a growing interest in several applications such as color reproduction [4-5], medical imaging [6], art conservation science and digital image archives with high color accuracy [1-4]. Unlike typical digital photography, the multi-spectral imaging systems based on acquiring the spectral reflectance at each pixel of an image provide a device-independent representation that can be rendered as a correct color under any viewing condition. Although the extra information provided by a multispectral imaging device can be very useful, the large amount of data can be a problem in terms of storage and communication requirements. Digital image compression is an important task in image processing and provides efficient solutions for storage of a large volume of image data [7-9]. It is well documented that the spectral reflectance of a non-fluorescent objects is generally a smooth function of wavelength, and therefore can be modeled via dimensionality reduction techniques. In the other words, the smooth spectral reflectances are usually highly correlated and can be represented as a linear combination of a few basis vect","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can You See What Others See -A Defect Detection Model for Patterned Backgrounds","authors":"Guo-Feng Wei, M. Luo, P. Rhodes","doi":"10.2352/cgiv.2012.6.1.art00020","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00020","url":null,"abstract":"","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overlayable and Rotation-free Transmissive Circular Color Marker for Augmented Reality","authors":"Asahi Suzuki, Y. Manabe, Noriko Yata, Yuuki Uranishi","doi":"10.2352/cgiv.2012.6.1.art00021","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00021","url":null,"abstract":"This paper proposes a new design of overlayable transmissive color marker. Each marker is transparent and the marker has different colors, and outside of the marker is a region for estimating order of the overlay. ID patterns are detected from overlaid markers by splitting an input image in red, green and blue channel image. The overlaid order is estimated with the use of average color in the estimation area of overlaid order. Moreover this marker can estimate the relative degree of rotation angle between markers. To evaluate the performance of the proposed marker, we measured the misalignment which can be permitted when detecting each marker and the accuracy of estimated relative angle of the rotation. Moreover the maximum angle which can detect each marker between camera and marker is measured.","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133896127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What is the Color of Chocolate? - Extracting Color Values of Semantic Expressions","authors":"Albrecht J. Lindner, Nicolas Bonnier, S. Süsstrunk","doi":"10.2352/cgiv.2012.6.1.art00062","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00062","url":null,"abstract":"We present a statistical framework to automatically determine an associated color for a given arbitrary semantic expression. The expression can not only be a color name but any word or character string. In addition to the color value, we are also able to compute the result's significance, which determines how meaningful defining the color is for the expression. To demonstrate the framework's strength we apply it to two well known tasks: assessing memory colors and finding the color values for a given color name (color naming). We emphasize that we solve these tasks fully automatic without any psychophysical experiment or human intervention. Further, we outline the potential of our automatic framework and in particular the significance for the imaging community.","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130769159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Colour Laser Scanner Characterisation by Enhanced LUT","authors":"L. MacDonald","doi":"10.2352/cgiv.2012.6.1.art00025","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00025","url":null,"abstract":"This study investigated how to improve the accuracy of colour characterisation for a three-colour laser scanner, implemented by a lookup table (LUT) with interpolation. The transfer function was trained on a huge number of real and synthetic reflectance spectra, refined through statistical analysis. The lookup table enabled a 'baseline' matrix fitting to be enhanced through local deformations of 3D colour space to give optimal colorimetric performance.","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131130896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement of Gloss Perception by using Binocular Disparity","authors":"Shoji Yamamoto, Masashi Sawabe, Mayu Yokoya, N. Tsumura","doi":"10.2352/cgiv.2012.6.1.art00040","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00040","url":null,"abstract":"","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metamer Mismatch Volumes","authors":"A. Logvinenko, C. Godau, B. Funt","doi":"10.2352/cgiv.2012.6.1.art00010","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00010","url":null,"abstract":"A new algorithm for evaluating metamer mismatch volumes is introduced. Unlike previous methods, the proposed method places no restrictions on the set of possible object reflectance spectra. Such restrictions lead to approximate solutions for the mismatch volume. The new method precisely characterizes the volume in all circumstances.","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"39 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Expanded Neugebauer formula, using varying microreflectance of the Neugebauer primaries","authors":"Daniel Nyström","doi":"10.2352/cgiv.2012.6.1.art00029","DOIUrl":"https://doi.org/10.2352/cgiv.2012.6.1.art00029","url":null,"abstract":"An expanded Neugebauer formula, using varying micro-reflectance of the Neugebauer primaries","PeriodicalId":252236,"journal":{"name":"Computer Graphics, Imaging and Visualization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}