The Making of a Neuromorphic Visual System

Christoph Rasche (Autor)

Buch | Hardcover

140 Seiten

2004 | 2005 ed.
Springer-Verlag New York Inc.
978-0-387-23468-7 (ISBN)

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Presents an approach to the construction of a visual system. This work aims to characterize the process of visual categorization and find a suitable representation format that can deal with the structural variability. It reviews various theories of visual object and shape recognition in the fields of computer vision, neuroscience and psychology.

Arma virumque cano, Trojae qui primus ab oris Italiamfato profugus, Laviniaque venit litora. This is the beginning of Ovid's story about Odysseus leaving Trojae to find his way home. I here tell about my own Odysee-like ex- riences that I have undergone when I attempted to simulate visual recognition. The Odyssee started with a structural description - tempt, then continued with region encoding with wave propagation and may possibly continue with a mixture of several shape descr- tion methods. Although my odyssey is still under its way I have made enough progress to convey the gist of my approach and to compare it to other vision systems. My driving intuition is that visual category representations need to be loose in order to be able to cope with the visual structural va- ability existent within categories and that these loose representations are somehow expressed as neural activity in the nervous system. I - gard such loose representations as the cause for experiencing visual illusions and the cause for many of those effects discovered in att- tional experiments.
During my effort to find such loose represen- tions, I have made sometimes unexpected experiences that forced me to continuously rethink my approach and to abandon or turn over some of my initially strongly believed viewpoints.

1: Seeing: Blazing Processing Characteristics
1.1 An Infinite Reservoir of Information
1.2 Speed
1.3 Illusions
1.4 Recognition Evolvement
1.5 Basic-Level Categorization
1.6 Memory Capacity and Access
1.7 Summary

2: Category Representation and Recognition Evolvement
2.1 Structural Variability Independence
2.2 Viewpoint Independence
2.3 Representation and Evolvement
2.4 Recapitulation
2.5 Refining the Primary Engineering Goal

3: Neuroscientific Inspiration
3.1 Hierarchy and Models
3.2 Criticism and Variants
3.3 Speed
3.4 Alternative ‘Codes’
3.5 Alternative Shape Recognition
3.6 Insight from Cases of Visual Agnosia
3 7 Neuronal Level
3.8 Recapitulation and Conclusion

4: Neuromorphic Tools
4.1 The Transistor
4.2 A Synaptic Circuit
4.3 Dendritic Compartments
4.4 An Integrate-and-Fire Neuron
4.5 A Silicon Cortex
4.6 Fabrication Vagrancies require Simplest Models
4.7 Recapitulation

5: Insight From Line Drawings Studies
5.1 A Representation with Polygons
5.2 A Representation with Polygons and their Context
5.3 Recapitulation

6: Retina Circuits Signaling and Propagating Contours
6.1 The Input: a Luminance Landscape
6.2 Spatial Analysis in the Real Retina
6.3 The Propagation Map
6.4 Signaling Contours in Gray-Scale Images
6.5 Recapitulation

7: The Symmetric-Axis Transform
7.1 The Transform
7.2 Architecture
7.3 Performance
7.4 SAT Variants
7.5 Fast Waves
7.6 Recapitulation

8: Motion Detection
8.1 Models
8.2 Speed Detecting Architectures
8.3 Simulation
8.4 Biophysical Plausibility
8.5 Recapitulation

9: Neuromorphic Architectures: Pieces and Proposals
9.1 Integration Perspectives
9.2 Position and Size Invariance
9.3 Architecture for a Template Approach
9.4 Basic-Level Representations
9.5 Recapitulation

10: Shape Recognition with ContourPropagation Fields
10.1 The Idea of the Contour Propagation Field
10.2 Architecture
10.3 Testing
10.4 Discussion
10.5 Learning
10.6 Recapitulation

11: Scene Recognition
11.1 Objects in Scenes, Scene Regularity
11.2 Representation, Evolvement, Gist
11.3 Scene Exploration
11.4 Engineering
11.5 Recapitulation

12: Summary
12.1 The Quest for Efficient Representation and Evolvement
12.2 Contour Extraction and Grouping
12.3 Neuroscientific Inspiration
12.4 Neuromorphic Implementation
12.5 Future Approach

Terminology

References
Index
Keywords
Abbreviations

Zusatzinfo	XI, 140 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Gewicht	880 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Medizin / Pharmazie ► Studium
	Naturwissenschaften ► Biologie ► Humanbiologie
	Naturwissenschaften ► Biologie ► Zoologie
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Medizintechnik
ISBN-10	0-387-23468-3 / 0387234683
ISBN-13	978-0-387-23468-7 / 9780387234687
Zustand	Neuware