Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
Image segmentation refers to the process to divide an image into meaningful non-
overlap** regions according to human perception, which has become a classic topic since …
overlap** regions according to human perception, which has become a classic topic since …
Human pose estimation from monocular images: A comprehensive survey
Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …
are connected in an image. Human pose estimation from monocular images has wide …
Concealed object detection
We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …
identify objects that are visually embedded in their background. The high intrinsic similarities …
Camouflaged object detection
We present a comprehensive study on a new task named camouflaged object detection
(COD), which aims to identify objects that are" seamlessly" embedded in their surroundings …
(COD), which aims to identify objects that are" seamlessly" embedded in their surroundings …
Superpixels and polygons using simple non-iterative clustering
We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel
segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the …
segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the …
SLIC superpixels compared to state-of-the-art superpixel methods
Computer vision applications have come to rely increasingly on superpixels in recent years,
but it is not always clear what constitutes a good superpixel algorithm. In an effort to …
but it is not always clear what constitutes a good superpixel algorithm. In an effort to …
Multilevel cloud detection in remote sensing images based on deep learning
Cloud detection is one of the important tasks for remote sensing image processing. In this
paper, a novel multilevel cloud detection method based on deep learning is proposed for …
paper, a novel multilevel cloud detection method based on deep learning is proposed for …
[BOK][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 …