Academic literature on the topic 'Salient object-Machines'

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Journal articles on the topic "Salient object-Machines"

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Arun, Pattathal V., and Sunil K. Katiyar. "A CNN based Hybrid approach towards automatic image registration." Geodesy and Cartography 62, no. 1 (2013): 33–49. http://dx.doi.org/10.2478/geocart-2013-0005.

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Abstract Image registration is a key component of various image processing operations which involve the analysis of different image data sets. Automatic image registration domains have witnessed the application of many intelligent methodologies over the past decade; however inability to properly model object shape as well as contextual information had limited the attainable accuracy. In this paper, we propose a framework for accurate feature shape modeling and adaptive resampling using advanced techniques such as Vector Machines, Cellular Neural Network (CNN), SIFT, coreset, and Cellular Autom
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Sun, Deng, Liu, and Deng. "Combination of Spatial and Frequency Domains for Floating Object Detection on Complex Water Surfaces." Applied Sciences 9, no. 23 (2019): 5220. http://dx.doi.org/10.3390/app9235220.

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In order to address the problems of various interference factors and small sample acquisition in surface floating object detection, an object detection algorithm combining spatial and frequency domains is proposed. Firstly, a rough texture detection is performed in a spatial domain. A Fused Histogram of Oriented Gradient (FHOG) is combined with a Gray Level Co-occurrence Matrix (GLCM) to describe global and local information of floating objects, and sliding windows are classified by Support Vector Machines (SVM) with new texture features. Then, a novel frequency-based saliency detection method
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Chen, Yong, Kang Li, and Xiaoping Qian. "Direct Geometry Processing for Telefabrication." Journal of Computing and Information Science in Engineering 13, no. 4 (2013). http://dx.doi.org/10.1115/1.4024912.

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This paper presents a new approach for telefabrication where a physical object is scanned in one location and fabricated in another location. This approach integrates three-dimensional (3D) scanning, geometric processing of scanned data, and additive manufacturing (AM) technologies. In this paper, we focus on a set of direct geometric processing techniques that enable the telefabrication. In this approach, 3D scan data are directly sliced into layer-wise contours. Sacrificial supports are generated directly from the contours and digital mask images of the objects and the supports for stereolit
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Henschel, Anna, Hannah Bargel, and Emily S. Cross. "Faces Do Not Attract More Attention Than Non-Social Distractors in the Stroop Task." Collabra: Psychology 7, no. 1 (2021). http://dx.doi.org/10.1525/collabra.18521.

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As robots begin to receive citizenship, are treated as beloved pets, and given a place at Japanese family tables, it is becoming clear that these machines are taking on increasingly social roles. While human-robot interaction research relies heavily on self-report measures for assessing people’s perception of robots, a distinct lack of robust cognitive and behavioural measures to gauge the scope and limits of social motivation towards artificial agents exists. Here we adapted Conty and colleagues’ (2010) social version of the classic Stroop paradigm, in which we showed four kinds of distractor
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Dutton, Jacqueline Louise. "C'est dégueulasse!: Matters of Taste and “La Grande bouffe” (1973)." M/C Journal 17, no. 1 (2014). http://dx.doi.org/10.5204/mcj.763.

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Dégueulasse is French slang for “disgusting,” derived in 1867 from the French verb dégueuler, to vomit. Despite its vulgar status, it is frequently used by almost every French speaker, including foreigners and students. It is also a term that has often been employed to describe the 1973 cult film, La Grande bouffe [Blow Out], by Marco Ferreri, which recounts in grotesque detail the gastronomic suicide of four male protagonists. This R-rated French-Italian production was booed, and the director spat on, at the 26th Cannes Film Festival—the Jury President, Ingrid Bergman, said it was the most “s
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Rosner, Daniela. "Bias Cuts and Data Dumps." M/C Journal 26, no. 6 (2023). http://dx.doi.org/10.5204/mcj.2938.

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Introduction “Patterns are everywhere”, design researcher Anuradha Reddy told her virtual audience at the 2023 speaker series hosted by Brilliant Labs, a Canadian non-profit focussed on experiential digital learning and coding (Brilliant Labs / Labos Créatifs). Like other technology fora, this public-facing series offered designers an opportunity to highlight the accessibility of code. But unlike many such fora, Reddy’s code was worn on the body. Sitting at the now-standard webinar lectern, Reddy shared a flurry of images and contexts as she introduced a garment she called b00b, a bra that she
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Waelder, Pau. "The Constant Murmur of Data." M/C Journal 13, no. 2 (2010). http://dx.doi.org/10.5204/mcj.228.

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Our daily environment is surrounded by a paradoxically silent and invisible flow: the coming and going of data through our network cables, routers and wireless devices. This data is not just 1s and 0s, but bits of the conversations, images, sounds, thoughts and other forms of information that result from our interaction with the world around us. If we can speak of a global ambience, it is certainly derived from this constant flow of data. It is an endless murmur that speaks to our machines and gives us a sense of awareness of a certain form of surrounding that is independent from our actual, p
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Dissertations / Theses on the topic "Salient object-Machines"

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Mukherjee, Prerana. "Saliency and feature based visual object characterization for segmentation and localization." Thesis, 2018. http://10.217.116.15:8080//handle/2074/7916.

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Conference papers on the topic "Salient object-Machines"

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Chen, Yong, Kang Li, and Xiaoping Qian. "Direct Geometry Processing for Tele-Fabrication." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71483.

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This paper presents a new approach for tele-fabrication where a physical object is scanned in one location and fabricated in another location. This approach integrates three-dimensional (3D) scanning, geometric processing of scanned data, and additive manufacturing technologies. In this paper, we focus on a set of direct geometric processing techniques that enable the tele-fabrication. In this approach, 3D scan data is directly sliced into layer-wise contours. Sacrificial supports are generated directly from the contours and digital mask images of the objects and the supports for Stereolithogr
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