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Enhanced computer vision with microsoft kinect sensor: A review
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …
(RGB) sensing has become available for widespread use. The complementary nature of the …
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision
Higher dimensional data such as video and 3D are the leading edge of multimedia retrieval
and computer vision research. In this survey, we give a comprehensive overview and key …
and computer vision research. In this survey, we give a comprehensive overview and key …
Voxelnet: End-to-end learning for point cloud based 3d object detection
Accurate detection of objects in 3D point clouds is a central problem in many applications,
such as autonomous navigation, housekee** robots, and augmented/virtual reality. To …
such as autonomous navigation, housekee** robots, and augmented/virtual reality. To …
Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle environment
This paper presents an object classification method for vision and light detection and
ranging (LIDAR) fusion of autonomous vehicles in the environment. This method is based on …
ranging (LIDAR) fusion of autonomous vehicles in the environment. This method is based on …
Multimodal deep learning for robust RGB-D object recognition
A Eitel, JT Springenberg, L Spinello… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
Robust object recognition is a crucial ingredient of many, if not all, real-world robotics
applications. This paper leverages recent progress on Convolutional Neural Networks …
applications. This paper leverages recent progress on Convolutional Neural Networks …
Computer vision techniques for construction safety and health monitoring
For construction safety and health, continuous monitoring of unsafe conditions and action is
essential in order to eliminate potential hazards in a timely manner. As a robust and …
essential in order to eliminate potential hazards in a timely manner. As a robust and …
Convolutional-recursive deep learning for 3d object classification
R Socher, B Huval, B Bath… - Advances in neural …, 2012 - proceedings.neurips.cc
Recent advances in 3D sensing technologies make it possible to easily record color and
depth images which together can improve object recognition. Most current methods rely on …
depth images which together can improve object recognition. Most current methods rely on …
Rgb-(d) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of
indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape …
indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape …
Computer-aided classification of gastrointestinal lesions in regular colonoscopy
We have developed a technique to study how good computers can be at diagnosing
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
Unsupervised feature learning for RGB-D based object recognition
Recently introduced RGB-D cameras are capable of providing high quality synchronized
videos of both color and depth. With its advanced sensing capabilities, this technology …
videos of both color and depth. With its advanced sensing capabilities, this technology …