Robotics and Rehabilitation Intelligence
First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part II
Article
To study the fruit image fusion technology in the case of thermal infrared and visible heterogeneous sources and the method of online defect detection on fruit fusion images, this paper takes apple as the rese...
Article
Solid textures are essential for modeling virtual internal materials. Existing approaches either generate raster solid textures or only focus on vector representation. To facilitate efficient synthesis and int...
Article
Recently, the correlation filters have been successfully applied to visual tracking, but the boundary effect severely limits their tracking performance. In this paper, to overcome this problem, we propose a co...
Book and Conference Proceedings
First International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part II
Chapter and Conference Paper
Nowadays application scopes of deep learning research in the machine learning subfield have been gradually expanded, mainly in the field of computer vision and natural language processing. However, in the latt...
Chapter and Conference Paper
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
Chapter and Conference Paper
Aiming at the problem that the detection accuracy of effluent COD (chemical oxygen demand) in sewage treatment needs to be further improved, a combined model based on support vector machine and neural network ...
Article
This paper presents a fast digital stippling algorithm, which makes a fair balance on result quality and computational efficiency. The algorithm is based on precomputed blue noise point sets constructed by inc...
Chapter and Conference Paper
This paper investigates the pickup and delivery problem with time windows and last-in-first-out (LIFO) loading (PDPTWL). In this problem, the compartment of a vehicle is modeled as a linear LIFO stack. The las...
Article
Kernel discriminant subspace learning technique is effective to exploit the structure of image dataset in the high-dimensional nonlinear space. However, for large-scale image recognition applications, this tec...
Chapter and Conference Paper
The correctness of annotation is quite important in supervised learning, especially in electroencephalography(EEG)-based emotion recognition. The conventional EEG annotations for emotion recognition are based ...
Chapter and Conference Paper
In this paper, an enhanced estimation of distribution algorithm (EEDA) is proposed for the no-wait job shop scheduling problem (NWJSSP) with the makespan criterion, which has been proved to be strongly NP-hard...
Chapter and Conference Paper
In this paper, a bayesian statistical inference-based estimation of distribution algorithm (BEDA) is proposed for the re-entrant job-shop scheduling problem with sequence-dependent setup times (RJSSPST) to min...
Chapter and Conference Paper
Chapter and Conference Paper
The problem of the existing constructing process for virtual biology model is that it is not analyzed whether the enacted initial condition of the judgment model is reasonable or satisfying with the natural bi...
Chapter and Conference Paper
The well-known eigenface method uses a single eigenspace to recognize faces. However, it is not enough to represent face images with large variations, such as illumination and pose variations. To overcome this...
Chapter and Conference Paper
In this paper, we present a robust method to tackle the ambiguities in 3D arm tracking, especially those introduced by depth change (distance of the arm from the camera), and arm rotation about humerus (upper ...