Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Review of stereo vision algorithms and their suitability for resource-limited systems
B Tippetts, DJ Lee, K Lillywhite, J Archibald - Journal of Real-Time Image …, 2016 - Springer
A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …
decade. Considerable progress has been made in improving accuracy of results as well as …
Superpixel segmentation with fully convolutional networks
In computer vision, superpixels have been widely used as an effective way to reduce the
number of image primitives for subsequent processing. But only a few attempts have been …
number of image primitives for subsequent processing. But only a few attempts have been …
Efficient deep learning for stereo matching
In the past year, convolutional neural networks have been shown to perform extremely well
for stereo estimation. However, current architectures rely on siamese networks which exploit …
for stereo estimation. However, current architectures rely on siamese networks which exploit …
[图书][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
A brief introduction to OpenCV
I Culjak, D Abram, T Pribanic, H Dzapo… - 2012 proceedings of …, 2012 - ieeexplore.ieee.org
The purpose of this paper is to introduce and quickly make a reader familiar with OpenCV
(Open Source Computer Vision) basics without having to go through the lengthy reference …
(Open Source Computer Vision) basics without having to go through the lengthy reference …
Efficient joint segmentation, occlusion labeling, stereo and flow estimation
In this paper we propose a slanted plane model for jointly recovering an image
segmentation, a dense depth estimate as well as boundary labels (such as occlusion …
segmentation, a dense depth estimate as well as boundary labels (such as occlusion …
On building an accurate stereo matching system on graphics hardware
This paper presents a GPU-based stereo matching system with good performance in both
accuracy and speed. The matching cost volume is initialized with an AD-Census measure …
accuracy and speed. The matching cost volume is initialized with an AD-Census measure …
Cross-scale cost aggregation for stereo matching
Human beings process stereoscopic correspondence across multiple scales. However, this
bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo …
bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo …
Segment-tree based cost aggregation for stereo matching
This paper presents a novel tree-based cost aggregation method for dense stereo matching.
Instead of employing the minimum spanning tree (MST) and its variants, a new tree …
Instead of employing the minimum spanning tree (MST) and its variants, a new tree …