Enhanced computer vision with microsoft kinect sensor: A review

J Han, L Shao, D Xu, J Shotton - IEEE transactions on …, 2013 - ieeexplore.ieee.org
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 …

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision

T Georgiou, Y Liu, W Chen, M Lew - International Journal of Multimedia …, 2020 - Springer
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 …

Voxelnet: End-to-end learning for point cloud based 3d object detection

Y Zhou, O Tuzel - Proceedings of the IEEE conference on …, 2018 - openaccess.thecvf.com
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 …

Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle environment

H Gao, B Cheng, J Wang, K Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

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 …

Computer vision techniques for construction safety and health monitoring

JO Seo, SU Han, SH Lee, H Kim - Advanced Engineering Informatics, 2015 - Elsevier
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 …

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 …

Rgb-(d) scene labeling: Features and algorithms

X Ren, L Bo, D Fox - … IEEE Conference on Computer Vision and …, 2012 - ieeexplore.ieee.org
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of
indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape …

Computer-aided classification of gastrointestinal lesions in regular colonoscopy

P Mesejo, D Pizarro, A Abergel… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …

Unsupervised feature learning for RGB-D based object recognition

L Bo, X Ren, D Fox - … Robotics: The 13th International Symposium on …, 2013 - Springer
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 …