Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures Andre Hegerath, Thomas Deselaers, and Hermann Ney Human Language Technology and Pattern Recognition Group, RWTH Aachen University – D-5205

Source URL: thomas.deselaers.de

3D Object Recognition with Deep Networks Goal: • Implement one of the methods [1,2] using Tensorflow or Caffe, • Test the performance on real data acquired from a Google Tango Tablet.

Source URL: www.cvg.ethz.ch

Discriminative Training for Object Recognition Using Image Patches Thomas Deselaers, Daniel Keysers, and Hermann Ney Lehrstuhl f¨ur Informatik VI – Computer Science Department RWTH Aachen University – 52056 Aachen,

Source URL: thomas.deselaers.de

Improving a Discriminative Approach to Object Recognition using Image Patches Thomas Deselaers, Daniel Keysers, and Hermann Ney Lehrstuhl f¨ ur Informatik VI – Computer Science Department, RWTH Aachen University – D

Source URL: thomas.deselaers.de

Proceedings of the 1996 IEEE International Conference on Robotics and Automation Minneapolis, Minnesota - April 1996 Real-Time 100 Object Recognition System * Shree K. Nayart, Sameer A. Nenet, and Hiroshi Murase$

Source URL: www.cs.columbia.edu

Sparse Patch-Histograms for Object Classification in Cluttered Images Thomas Deselaers, Andre Hegerath, Daniel Keysers, and Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University, Aach

Source URL: thomas.deselaers.de

Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen†

Source URL: xiaoyongshen.me

• Computational neuroscience
• Science and technology
• Mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Outline of object recognition
• Localization
• Image segmentation
• Artificial intelligence
• Valuation
• Conference on Computer Vision and Pattern Recognition

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

Source URL: www.ijmetmr.com

• Feature detection
• Vision
• Artificial intelligence
• Scale-invariant feature transform
• Outline of object recognition
• Speeded up robust features
• Corner detection
• Image stitching
• Image registration
• Edge detection
• Feature
• 3D single-object recognition

WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition

Source URL: thomas.deselaers.de

• Machine learning
• Artificial intelligence
• Learning
• Statistics
• Mixture model
• Log-linear model
• Pattern recognition
• K-means clustering
• Linear classifier