Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,Jo?o Manuel R. S. Tavares,Ke-Li Co

PARA

Geospatial Object Detection for Scene Understanding Using Remote Sensing Images,cts from HSR remote sensing images is the first and foremost step in RS image analysis. There is a need to design effective techniques which are capable of identifying contextual refinements in RS images, to relate observations to both the scene and the real world. This paper presents a review of di

AND

,Ant?spoofing Detection System for Online Classes and Online Meeting,s online, the genuine students grasp the essence of the subjects at the same time some students are trying to do some spoofing activity in the class or meeting though they are virtually available online. The spoofing may include that the students may not physically present in the class instead their

Intervention

Pre-processing Block Hardware Architecture in Image Processing Using Reconfigurable Platform,paper aims at overcoming the offset needs for memory addressing in pre-processing blocks. Another feature of this present work is to appending the image data with customized algorithmic requiments viz duplicating, zero padding. For K?×?K kernel size, the proposed hardware architecture can be program

BOOM

COUCH

Salivary-Gland

Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cucimize the the total system losses. The total system losses includes the resultant of real power loss and reactive power loss. The main aim of presented work is to minimize the system losses and also to enhance the system‘s voltage profile. This paper is made from the fact that DGs are more advantage

altruism

Integrating Virtual Reality with 3D Modeling for Interactive Architectural Visualization and Photor, and to address the problems of traditional methods specifically in terms of interactivity and visualization. We present our prototype that incorporates Building Information Modeling (BIM) and Virtual Reality (VR) into interactive architectural visualization. The proposed system supports a virtual

aqueduct

LBPX: A Novel Feature Extraction Method for Iris Recognition,ation or features in the iris. The identification delay in iris recognition can be reduced by reducing the feature vector generated from the feature extraction of iris images. A new form of local binary pattern (LBP) termed LBPX is proposed in this paper as an iris feature extraction method. For thi

Gorilla

Multi-features Based Multi-layer Perceptron for Facial Expression Recognition System, been used to resolve the recognition problem. However, traditional and deep learning-based methods achieve improved performance but are limited to their features limiting the recognition rate. Therefore, the latest strategy is developed for the FER system based on multi-features extraction using th

fructose