Visual Motion Processing

Thomas Guthier

doi:10.51202/9783186251084

Keywords

Search publication

Bibliographic data

Copyright year: 2016
ISBN-Print: 978-3-18-525108-5
ISBN-Online: 978-3-18-625108-4
Publisher: VDI Verlag, Düsseldorf
Series: Mess-, Steuerungs- und Regelungstechnik
Volume: 1251
Language: German
Pages: 158
Product type: Book Titles

Titelei/Inhaltsverzeichnis Partial access Pages I - XII Download chapter (PDF)
1. 1. Temporal and View-Point Variations No access
  2. Discriminative Features No access
2. 1. Computational Neuroscience No access
3. Summary & Thesis Structure No access
1. 1. Different Motion Representations No access
  2. Static and Dynamic Form Description No access
  3. Neurophysiological Experiments No access
  4. Brain Areas based on Neurophysiological Experiments No access
  5. Dorsal Stream Areas In Biological Motion Recognition No access
  6. Mid-Level Motion Patterns No access
  7. Ventral Stream Areas In Biological Motion Recognition No access
  8. Posterior Superior Temporal Sulcus (STSp) No access
2. 1. Feed-Forward Neural Networks No access
  2. Invariance Properties of Feed-Forward Neural Networks No access
  3. RelatedWork No access
  4. Proposed Computational Model No access
1. 1. Principal Component Analysis No access
  2. Independent Component Analysis No access
  3. Extensions of NMF No access
2. 1. Basic Constraints No access
  2. Non-negativity No access
  3. Sparsity No access
  4. Local and Lateral Inhibition No access
  5. Resulting Energy Function and Notations No access
3. 1. Sparse Activations No access
  2. Normalized Basis Vectors No access
  3. Sparse Basis Vectors No access
  4. Reconstruction Energy No access
  5. sNMF Learning Algorithm No access
  6. Orthogonality and Enforced Parts-Basedness No access
4. 1. Multidimensional Input No access
  2. Multidimensional Basis Vectors No access
  3. Multidimensional Activations No access
  4. Sparse Activation Amplitudes No access
  5. Positive and Negative Input No access
  6. Strict Non-negativity No access
  7. Weak Non-negativity No access
  8. Orthogonality between Positive and Negative Reconstructions No access
5. 1. Reconstruction Energy No access
  2. Sparse Activations No access
  3. Orthogonality between Positive and Negative Representation No access
  4. Enforced Topological Sparsity No access
  5. VNMF Learning Algorithm No access
6. AlgorithmSummary No access
1. 1. General Algorithmic Approaches No access
  2. Correlation Methods No access
  3. Differential Methods No access
  4. Method Comparison No access
2. 1. Horn and Schunk No access
  2. Lukas and Kanade No access
  3. Extensions of the Classical Methods No access
  4. Multi-Scale Methods No access
  5. Other OFE-algorithms No access
3. 1. Restrict Optical Flow Field to Model No access
  2. Enforced Non-Negativity No access
  3. Penalize Opposing Directions No access
  4. Sparse Activity Amplitudes No access
  5. Lateral Competition No access
  6. VNMF-OFE Learning Algorithm No access
  7. VNMF-OFE Algorithm for Activation Inference No access
4. 1. Varying Model Parameters No access
  2. Varying Energy Parameters No access
  3. Learned vs Designed Basis Vectors No access
  4. Discussion of the Parameter Settings No access
5. 1. Comparison to Related Work No access
  2. VNMF-OFE for Human Actions No access
6. Summary & Discussion No access
1. 1. Preprocessing No access
  2. Varying Energy Parameters No access
  3. Varying Basis Vector Parameters No access
  4. Detailed Analysis of the Learning Process No access
  5. Comparison to PCA and sNMF No access
  6. Basis Vectors learned on Face Data No access
2. 1. Preprocessing No access
  2. Varying Energy Parameters No access
  3. Varying Basis Vector Parameters No access
  4. Detailed Analysis of the Learning Process No access
  5. Comparison to PCA and sNMF No access
  6. Basis Vectors learned on Face Data No access
3. 1. Simple Cell Response No access
  2. Complex Cell Response No access
  3. Relation to HOG/HOF Descriptor No access
1. Support Vector Machine (SVM) No access
2. 1. Varying Basis Vector Parameters No access
  2. Varying Energy Parameters No access
  3. Comparison to PCA and sNMF Patterns No access
  4. Varying Simple Cell Response No access
3. Facial Expression Recognition No access
4. 1. HOG/HOF Results No access
  2. Benchmark Results No access
1. 1. Optical Flow Estimation (VNMF-OFE) No access
  2. Feature Extraction (VNMF) No access
  3. Biological Motion Recognition Model (FFNN) No access
2. Outlook No access
Bag of Words No access Pages 132 - 132
Visual Cortex No access Pages 133 - 134
1. Translation Invariant Learning No access
2. Topological Sparsity No access
1. Temporal Extension of sNMF No access
2. RelatedWork No access
3. 1. Sparsity in the Transitions No access
  2. sNN-LDS Learning Algorithm No access
4. Results No access
Bibliography No access Pages 143 - 158