pelluch/vision-3d
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vision_3d ========= ROS Stack used for 3D vslam and object detection algorithms. I will add object recognition algorithms which use RGB-D information for use with robotics. Pre-requisites ========= opencv2 (tested with 2.4.2, comes with ros-fuerte-desktop-full) pcl (tested with 1.5.1, comes with ros-fuerte-desktop-full) openni_launch ROS Stack for fuerte which includes OpenNI driver (comes with ros-fuerte-desktop-full) pcl_ros (comes with ros-fuerte-desktop-full) TODO ========= Feature Extraction: -Implement SURF3D descriptor -Implement SIFT3D detector and descriptor -Implement SURFLET descriptor -Implement Kernel descriptors MISC: -Add functionality to convert RGB-D images to point clouds and vice-versa Saliency Maps: -Research and implement 2D and 3D saliency maps for attention focusing -Maybe use saliency_detector ROS STACK -3D cues with IKN Maps -3D saliency maps by Pirri et al Classifiers: -Implement SVM classifier for training (using libSVM, probably) with different kernels -Implement adaboost classifier -Experiment with part-based object detection Object detection: -Implement node for detecting certain types of objects using RGB-D data from kinect
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ROS Stack used for 3D vslam and object detection algorithms.
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