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1. |
Record Nr. |
UNINA9910473653303321 |
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Titolo |
The Tacit Dimension : Architecture Knowledge and Scientific Research / / Lara Schrijver (ed.) |
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Pubbl/distr/stampa |
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Leuven (belgium) : , : Leuven University Press, , 2021 |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (1 online resource 1 volume) |
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Soggetti |
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ARCHITECTURE / Criticism |
Research - Philosophy |
Knowledge, Theory of |
Architecture - Philosophy |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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Within architecture, tacit knowledge plays a substantial role both within the design process and its reception. This book explores the tacit dimension of architecture in its aesthetic, material, cultural, design-based, and reflexive understanding of what we build. Much of architecture's knowledge resides beneath the surface, in nonverbal instruments such as drawings and models that articulate the spatial imagination of the design process. Tacit knowledge, described in 1966 by Michael Polanyi as what we "can know but cannot tell", often denotes knowledge that escapes quantifiable dimensions of research. Beginning in the studio, where students are guided into becoming architects, the book follows a path through the tacit knowledge present in models, materials, conceptual structures, and the design process, revealing how the tacit dimension leads to craftsmanship and the situated knowledge of architecture-in-the-world. Awareness of the tacit dimension helps to understand the many facets of the spaces we inhabit, from the ideas of the architect to the more hidden assumptions of our cultures. |
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2. |
Record Nr. |
UNINA9911011376703321 |
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Autore |
Mueller Markus |
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Titolo |
Beherrschte Zeit : Lebensorientierung und Zukunftsgestaltung durch Kalenderprognostik zwischen Antike und Neuzeit. Mit einer Edition des Passauer Kalendars (UB/LMB 2° Ms. astron. 1) / Markus Mueller |
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Pubbl/distr/stampa |
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Kassel, : Kassel University Press, 2009 |
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ISBN |
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Descrizione fisica |
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1 Online-Ressource (692 Seiten) |
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Collana |
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Schriftenreihe der Universitätsbibliothek Kassel - Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel ; 8 |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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3. |
Record Nr. |
UNINA9910872796203321 |
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Titolo |
IEEE Forty-Second Vehicular Technology, 1992 |
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Pubbl/distr/stampa |
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[Place of publication not identified], : IEEE, 1992 |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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4. |
Record Nr. |
UNINA9910962855503321 |
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Autore |
Ravishankar Rao A. |
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Titolo |
A Taxonomy for Texture Description and Identification / / by A. Ravishankar Rao |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 1990 |
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ISBN |
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Edizione |
[1st ed. 1990.] |
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Descrizione fisica |
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1 online resource (XXIII, 198 p.) |
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Collana |
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Springer Series in Perception Engineering |
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Disciplina |
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Soggetti |
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Computer vision |
Computer simulation |
Computers |
Software engineering |
Computer Vision |
Computer Modelling |
Computer Hardware |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1 Introduction -- 1.1 Scope of the book -- 1.2 Importance of texture -- 1.3 Potential applications of this research -- 1.4 Issues in automated process control involving computer vision -- 1.5 A taxonomy for texture -- 1.6 Outline -- 2 Computing oriented texture fields -- 2.1 Introduction -- 2.2 Background -- 2.3 Oriented Texture Fields -- 2.4 Experimental Methods -- 2.5 Experimental Results -- 2.6 Analyzing texture at different scales -- 2.7 Processing of the intrinsic images -- 2.8 Conclusions -- 3 The analysis of oriented textures through phase portraits -- 3.1 Introduction -- 3.2 Background -- 3.3 Geometric theory of differential equations -- 3.4 Experimental Methods -- 3.5 Experimental Results -- 3.6 Experiments with noise addition -- 3.7 A related model from fluid flow analysis -- 3.8 Discussion -- 3.9 Conclusion -- 4 Analyzing strongly ordered textures -- 4.1 Introduction -- 4.2 Extraction of primitives -- 4.3 Extracting structure from primitives -- 4.4 Models for strongly ordered textures -- 4.5 Symbolic descriptions: models from petrography -- 4.6 Frieze groups and wallpaper groups -- 4.7 Implications for computer vision -- 4.8 Summary -- 5 Disordered textures -- 5.1 Statistical measures for disordered textures -- 5.2 Describing disordered textures by means of the fractal dimension -- 5.3 Computing the fractal dimension -- 5.4 Experimental Results -- 5.5 Conclusion -- 6 Compositional textures -- 6.1 Introduction -- 6.2 Primitive textures -- 6.3 A Parametrized symbol set -- 6.4 Three types of composition -- 6.5 Linear combination (transparent overlap) -- 6.6 Functional composition -- 6.7 Opaque overlap -- 6.8 Definition of texture -- 6.9 A complete taxonomy for texture -- 6.10 Implementing the taxonomy -- 6.11 Conclusion -- 7 Conclusion -- 7.1 Summary of results -- 7.2 Contributions -- 7.3 Future Work -- B Region Refinement -- C Preparation of the manuscript -- Permissions. |
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Sommario/riassunto |
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A central issue in computer vision is the problem of signal to symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing. The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications. |
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