Decision Forests for Computer Vision and Medical Image Analysis

Overview and Scope

Notation and Terminology

Part I: The Decision Forest Model

Introduction: The Abstract Forest Model

Classification Forests

Regression Forests

Density Forests

Manifold Forests

Semi-Supervised Classification Forests

Part II: Applications in Computer Vision and Medical Image Analysis

Keypoint Recognition Using Random Forests and Random Ferns
V. Lepetit and P. Fua

Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval
R. Marée, L. Wehenkel and P. Geurts

Class-Specific Hough Forests for Object Detection
J. Gall and V. Lempitsky

Hough-Based Tracking of Deformable Objects
M. Godec, P. M. Roth and H. Bischof

Efficient Human Pose Estimation from Single Depth Images
J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook, M. Finocchio, R. Moore, P. Kohli, A. Criminisi, A. Kipman and A. Blake

Anatomy Detection and Localization in 3D Medical Images
A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus, A. Martinez Möller, S. G. Nekolla and N. Navab

Semantic Texton Forests for Image Categorization and Segmentation
M. Johnson, J. Shotton and R. Cipolla

Semi-Supervised Video Segmentation Using Decision Forests
V. Badrinarayanan, I. Budvytis and R. Cipolla

Classification Forests for Semantic Segmentation of Brain Lesions in Multi-Channel MRI
E. Geremia, D. Zikic, O. Clatz, B. H. Menze, B. Glocker, E. Konukoglu, J. Shotton, O. M. Thomas, S. J. Price, T. Das, R. Jena, N. Ayache and A. Criminisi

Manifold Forests for Multi-Modality Classification of Alzheimer’s Disease
K. R. Gray, P. Aljabar, R. A. Heckemann, A. Hammers and D. Rueckert

Entangled Forests and Differentiable Information Gain Maximization
A. Montillo, J. Tu, J. Shotton, J. Winn, J. E. Iglesias, D. N. Metaxas, and A. Criminisi

Decision Tree Fields: An Efficient Non-Parametric Random Field Model for Image Labeling
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao and P. Kohli

Part III: Implementation and Conclusion

Efficient Implementation of Decision Forests
J. Shotton, D. Robertson and T. Sharp

The Sherwood Software Library
D. Robertson, J. Shotton and T. Sharp

Conclusions