| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9911009166503321 |
|
|
Autore |
Deutsch Allison |
|
|
Titolo |
Consuming Painting : Food and the Feminine in Impressionist Paris / / Allison Deutsch |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
University Park, PA : , : Penn State University Press, , [2021] |
|
©2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (216 p.) : 25 color/33 b&w illustrations |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Art criticism - France - Paris - History - 19th century |
Impressionism (Art) - France - Paris |
Metaphor in art criticism - History - 19th century |
Painting, French - France - Paris - 19th century |
ART / History / Modern (late 19th Century to 1945) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Frontmatter -- Contents -- Illustrations -- Acknowledgments -- Introduction -- Chapter one Metaphor and Materiality in Nineteenth-Century Art Criticism -- Chapter Two The Flesh of Painting -- Chapter three The Confected Canvas -- Chapter four Impressionist Market Gardener -- Conclusion -- Notes -- Bibliography -- Index |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
In Consuming Painting, Allison Deutsch challenges the pervasive view that Impressionism was above all about visual experience. Focusing on the language of food and consumption as they were used by such prominent critics as Baudelaire and Zola, she writes new histories for familiar works by Manet, Monet, Caillebotte, and Pissarro and creates fresh possibilities for experiencing and interpreting them. Examining the culinary metaphors that the most influential critics used to express their attraction or disgust toward painting, Deutsch rethinks French modern-life painting in relation to the visceral reactions that these works evoked in their earliest publics. Writers posed viewing as analogous to ingestion and used comparisons to food to describe the appearance of paint and the painter’s process. The food metaphors |
|
|
|
|
|
|
|
|
|
|
|
|
|
they chose were aligned with specific female types, such as red meat for sexualized female flesh, confections for fashionably made-up women, and hearty vegetables for agricultural laborers. These culinary figures of speech, Deutsch argues, provide important insights into both the fabrication of the feminine and the construction of masculinity in nineteenth-century France. Consuming Painting exposes the social politics at stake in the deeply gendered metaphors of sense and sensation.Original and convincing, Consuming Painting upends traditional narratives of the sensory reception of modern painting. This trailblazing book is essential reading for specialists in nineteenth-century art and criticism, gender studies, and modernism. |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9911047814103321 |
|
|
Autore |
Kong Hao |
|
|
Titolo |
Human Reconstruction Using mmWave Technology / / by Hao Kong, Jiadi Yu, Xuemin (Sherman) Shen |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2026.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (152 pages) |
|
|
|
|
|
|
Collana |
|
SpringerBriefs in Computer Science, , 2191-5776 |
|
|
|
|
|
|
Altri autori (Persone) |
|
YuJiadi |
ShenXuemin (Sherman) |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Virtual reality |
Augmented reality |
Cooperating objects (Computer systems) |
Wireless communication systems |
Mobile communication systems |
Mobile computing |
Biometric identification |
Virtual and Augmented Reality |
Cyber-Physical Systems |
Wireless and Mobile Communication |
Mobile Computing |
Biometrics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Chapter 1 Introduction -- 1.1 An Overview of Human Reconstruction -- 1.2 Development of mmWave Sensing -- 1.3 Organization of Monograph -- Chapter 2 mmWave-based Human Posture Reconstruction -- 2.1 Background and Motivation -- 2.2 System Overview -- 2.3 Multi-User Detection and Separation -- 2.3.1 User Detection on mmWave Signals -- 2.3.2 User Separation on mmWave Signals -- 2.4 Single-User Posture Reconstruction -- 2.4.1 Posture Feature Representation -- 2.4.2 3D Posture Reconstruction -- 2.5 Multi-User 3D Posture Tracking -- 2.5.1 Posture Mapping with Point Cloud -- 2.5.2 3D Posture Tracking -- 2.6 Evaluation -- 2.6.1 Evaluation Setup -- 2.6.2 Overall Performance -- 2.6.3 Quantitative Result -- 2.6.4 Localization Performance -- 2.6.5 Performance in Different Scenarios -- 2.6.6 Comparison with SOTA Systems -- 2.6.7 Impact of Factors -- 2.7 Summary and Further Reading -- Reference -- Chapter 3 mmWave-based Facial Expression Reconstruction -- 3.1 Background and Motivation -- 3.2 System Overview -- 3.3 Facial Feature Extraction -- 3.3.1 Feature Representation Extraction -- 3.3.2 Geometric Feature Extraction -- 3.4 3D Facial Expression Reconstruction -- 3.4.1 Facial Shape Reconstruction -- 3.4.2 Facial Expression Reconstruction -- 3.4.3 3D Avatar Generation -- 3.5 Evaluation -- 3.5.1 Evaluation Setup -- 3.5.2 Overall Performance -- 3.5.3 Comparison with SOTA Systems -- 3.5.4 Facial Expression Recognition -- 3.5.5 Impact of Mask -- 3.5.6 Impact of Distance and Orientation -- 3.5.7 Impact of Background Environment -- 3.5.8 In-the-Wild Evaluation -- 3.6 Summary and Further Reading -- Reference -- Chapter 4 mmWave-based Hand Gesture Reconstruction -- 4.1 Background and Motivation -- 4.2 System Overview -- 4.3 Hand Joint Regression -- 4.3.1 Hand Detection on mmWave Signals -- 4.3.2 Hand Feature Extraction -- 4.3.3 3D Hand Joint Regression -- 4.4 Mesh Reconstruction -- 4.4.1 3D Hand Model -- 4.4.2 Hand Mesh Reconstruction -- 4.5 Evaluation -- 4.5.1 Evaluation Setup -- 4.5.2 Overall Performance -- 4.4.3 Comparison with SOTA Systems -- 4.4.4 Impact of Distance and Angle -- 4.4.5 Impact of Human Body -- 4.4.6 Impact of Gloves and Handheld Object -- 4.4.7 Impact of Background Environment -- 4.6 Summary and Further Reading -- Reference -- Chapter 5 State-of-Art Research -- 5.1 Human .-Pose Reconstruction -- 5.2 mmWave Sensing in Smart Homes -- 5.3 mmWave-based Human Sensing Applications -- 5.4 Summary of Existing Research -- Reference -- Chapter 6 Conclusion and Future Work -- 6.1 Conclusion of the Book -- 6.2 Future Work -- Reference. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book introduces human reconstruction technologies in smart homes leveraging mmWave signals. It begins by presenting the overview of human reconstruction and the development of mmWave sensing technology. The authors introduce a mmWave sensing-based human posture reconstruction approach, which exploits mmWave signals to sense and track multiple users’ postures as they move, walk or sit. It also presents a facial expression reconstruction system that reconstructs 3D human faces and continuously exhibits facial expressions using mmWave. The authors describe a hand gesture reconstruction system that utilizes mmWave signals to generate 3D hand skeletons and reconstruct hand meshes. A thorough investigation of state-of-art research work is further presented covering human reconstruction, mmWave sensing and mmWave-based human reconstruction. Finally, conclusions and the direction of future research are highlighted for this book. Human and the cyberworld are moving towards high synchronization as more IoT devices are integrated in smart homes. By reconstructing human postures, facial expressions, and hand gestures in the cyberworld, a virtual human avatar can map |
|
|
|
|
|
|
|
|
|
|
the state of human into the physical world and deeply integrate reality and virtuality. The process strongly energizes emerging applications such as virtual reality, augmented reality, meta-universe, immersive games, etc. This book targets graduate-level students majoring in the computer science and engineering, and electrical engineering. Professionals working in wireless signal-based human sensing will also find this book a valuable resource. |
|
|
|
|
|
| |