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About vocabulary tree
A vocabulary tree is a hierarchical-structured tree that can efficiently integrate quantization and classification . Object recognition is one of the core problems in computer vision, and it is a very extensively investigated topic. Due to appearance variabilities caused for example by non-rigidity, background clutter, differences in viewpoint, orientation, scale or lighting conditions, it is a hard problem. One of the important challenges is to construct methods that scale well with the size of the database, and can select one out of a large number of objects in acceptable time. For each cluster a vocabulary tree is build for searching the most similar view . Vocabulary tree is usually used to quantize SURF into more compact features
About OpenCV
OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. SIFT Image matching is a fundamental aspect of many problems in computer vision, including object or scene recognition, solving for 3D structure from multiple images, stereo correspondence, and motion tracking.
My project : Objects Modelling
The ability to recognize objects and to localize them precisely is essential in all service robotic applications. One of the main challenges for service robots during operation lies in the handling of unavoidable uncertainties which originate from model sensor inaccuracies are characteristic for realistic application scenarios. ODUfinder is a perception system for autonomous service robots acting in human living environments. The perception system enables robots to detect and recognize large sets of textured objects of daily use .We need a robot object detection and recognition system that can recognize thousands of objects by learning and using vocabulary three of SIFT descriptors . The usage of robots to aid humans is becoming more and more widespread, typically in the industry, but increasingly also in public services and in some cases, home applications too. Robots are starting to be more ...
Initial thoughts
The story began on February 01,2011 when I arrived in Munich. It was a rainy day and someone was waiting us at the airport. The first lesson: how to arrive at the Konigsplatz from Studentenstadt and vice versa. The best solution: the subway. I met new people from the lab (Cotesys Central Robotics Laboratory) who helped me to acquaint with my new home for the next months. I was very excited about all that happened to me. Two months have passed since I arrived here and I am still surprised how quickly the time flies ...