Results 61 to 70 of about 205,992 (289)
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks
Image degradation caused by shadows is likely to cause technological issues in image segmentation and target recognition. In view of the existing shadow removal methods, there are problems such as small and trivial shadow processing, the scarcity of end ...
Hui Fan, Meng Han, Jinjiang Li
doaj +1 more source
A Self-Linking Invariant of Virtual Knots [PDF]
In this paper we introduce a new invariant of virtual knots and links that is non-trivial for infinitely many virtuals, but is trivial on classical knots and links.
Kauffman, Louis H.
core +1 more source
SUShe: simple unsupervised shadow removal
AbstractShadow removal is an important problem in computer vision, since the presence of shadows complicates core computer vision tasks, including image segmentation and object recognition. Most state-of-the-art shadow removal methods are based on complex deep learning architectures, which require training on a large amount of data.
Dimitra-Christina C. Koutsiou +2 more
openaire +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Shadow detection and removal from images using machine learning and morphological operations
In this study, the authors present a system for shadow detection and removal from images using machine learning technique. A machine learning algorithm ESRT (enhanced streaming random tree) model is proposed.
Vicky Nair +2 more
doaj +1 more source
Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification.
Gulbadan Sikander +4 more
doaj +1 more source
Synthesis of Best Practice for Increasing Protection and Visibility of Highway Maintenance Vehicles, CTRE Final Report Iowa DOT Project TR-475, August 2002 [PDF]
The purpose of this research project is to study current practices in enhancing visibility and protection of highway maintenance vehicles involved in moving operations such as snow removal and shoulder operations, crack sealing, and pothole patching ...
core
Fixed-parameter tractability of multicut parameterized by the size of the cutset [PDF]
Given an undirected graph $G$, a collection $\{(s_1,t_1),..., (s_k,t_k)\}$ of pairs of vertices, and an integer $p$, the Edge Multicut problem ask if there is a set $S$ of at most $p$ edges such that the removal of $S$ disconnects every $s_i$ from the ...
Bousquet N. +18 more
core +2 more sources
Regional Attention For Shadow Removal
Shadow, as a natural consequence of light interacting with objects, plays a crucial role in shaping the aesthetics of an image, which however also impairs the content visibility and overall visual quality. Recent shadow removal approaches employ the mechanism of attention, due to its effectiveness, as a key component.
Hengxing Liu, Mingjia Li, Xiaojie Guo
openaire +2 more sources
Removing Shadows from Images [PDF]
Illumination conditions cause problems for many computer vision algorithms. In particular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. In this paper we propose a method to process a 3-band colour image to locate, and subsequently remove shadows.
Finlayson, Graham D. +2 more
openaire +2 more sources

