... A. Poggio, editors Neural Nets in Electric Fish, Walter Heiligenberg, 1991 The Computational ... more ... A. Poggio, editors Neural Nets in Electric Fish, Walter Heiligenberg, 1991 The Computational Brain, Patricia S. Churchland and Terrence J. Sejnowski ... Selected Papers of Wilfrid Rail with Commentaries, edited by Idan Segev, John Rinzel, and Gordon M. Shepherd, 1995 Models ...
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written... more Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to “see” and make decisions based on that data. The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.
The consideration of data set design, collection, and distribution methodology is becoming increa... more The consideration of data set design, collection, and distribution methodology is becoming increasingly important as robots move out of fully controlled settings, such as assembly lines, into unstructured environments. Extensive knowledge bases and data sets will potentially offer a means of coping with the variability inherent in the real world. In this study, we introduce three new data sets related to mobile manipulation in human environments. The first set contains a large corpus of robot sensor data collected in typical office environments. Using a crowd-sourcing approach, this set has been annotated with ground-truth information outlining people in camera images. The second data set consists of three-dimensional (3-D) models for a number of graspable objects commonly encountered in households and offices. Using a simulator, we have identified on each of these objects a large number of grasp points for a parallel jaw gripper. This information has been used to attempt a large number of grasping tasks using a real robot. The third data set contains extensive proprioceptive and ground truth information regarding the outcome of these tasks
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written... more Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.Computer vision is everywherein security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.This book includes:A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms
The consideration of data set design, collection, and distribution methodology is becoming increa... more The consideration of data set design, collection, and distribution methodology is becoming increasingly important as robots move out of fully controlled settings, such as assembly lines, into unstructured environments. Extensive knowledge bases and data sets will potentially offer a means of coping with the variability inherent in the real world. In this study, we introduce three new data sets related to mobile manipulation in human environments. The first set contains a large corpus of robot sensor data collected in typical office environments. Using a crowd-sourcing approach, this set has been annotated with ground-truth information outlining people in camera images. The second data set consists of three-dimensional (3-D) models for a number of graspable objects commonly encountered in households and offices. Using a simulator, we have identified on each of these objects a large number of grasp points for a parallel jaw gripper. This information has been used to attempt a large number of grasping tasks using a real robot. The third data set contains extensive proprioceptive and ground truth information regarding the outcome of these tasks
... A. Poggio, editors Neural Nets in Electric Fish, Walter Heiligenberg, 1991 The Computational ... more ... A. Poggio, editors Neural Nets in Electric Fish, Walter Heiligenberg, 1991 The Computational Brain, Patricia S. Churchland and Terrence J. Sejnowski ... Selected Papers of Wilfrid Rail with Commentaries, edited by Idan Segev, John Rinzel, and Gordon M. Shepherd, 1995 Models ...
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written... more Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to “see” and make decisions based on that data. The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.
The consideration of data set design, collection, and distribution methodology is becoming increa... more The consideration of data set design, collection, and distribution methodology is becoming increasingly important as robots move out of fully controlled settings, such as assembly lines, into unstructured environments. Extensive knowledge bases and data sets will potentially offer a means of coping with the variability inherent in the real world. In this study, we introduce three new data sets related to mobile manipulation in human environments. The first set contains a large corpus of robot sensor data collected in typical office environments. Using a crowd-sourcing approach, this set has been annotated with ground-truth information outlining people in camera images. The second data set consists of three-dimensional (3-D) models for a number of graspable objects commonly encountered in households and offices. Using a simulator, we have identified on each of these objects a large number of grasp points for a parallel jaw gripper. This information has been used to attempt a large number of grasping tasks using a real robot. The third data set contains extensive proprioceptive and ground truth information regarding the outcome of these tasks
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written... more Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface.Computer vision is everywherein security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter.This book includes:A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms
The consideration of data set design, collection, and distribution methodology is becoming increa... more The consideration of data set design, collection, and distribution methodology is becoming increasingly important as robots move out of fully controlled settings, such as assembly lines, into unstructured environments. Extensive knowledge bases and data sets will potentially offer a means of coping with the variability inherent in the real world. In this study, we introduce three new data sets related to mobile manipulation in human environments. The first set contains a large corpus of robot sensor data collected in typical office environments. Using a crowd-sourcing approach, this set has been annotated with ground-truth information outlining people in camera images. The second data set consists of three-dimensional (3-D) models for a number of graspable objects commonly encountered in households and offices. Using a simulator, we have identified on each of these objects a large number of grasp points for a parallel jaw gripper. This information has been used to attempt a large number of grasping tasks using a real robot. The third data set contains extensive proprioceptive and ground truth information regarding the outcome of these tasks
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