Results 31 to 40 of about 2,541,137 (309)
Cross-domain 3D Model Retrieval Based on Viewpoint Alignment
3D model retrieval with sketches as input is convenient for users to express their retrieval needs, and has become a research hotspot. However, a sketch which is only the rough description of a 3D model from a single viewpoint has high degree of ...
ZHANG Libao +4 more
doaj +1 more source
Sketch-based subspace clustering of hyperspectral images [PDF]
Sparse subspace clustering (SSC) techniques provide the state-of-the-art in clustering of hyperspectral images (HSIs). However, their computational complexity hinders their applicability to large-scale HSIs.
Du, Qian +3 more
core +1 more source
Multi-view Convolutional Neural Networks for 3D Shape Recognition [PDF]
A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats, such as voxel grid or polygon mesh, or can they be effectively ...
Kalogerakis, Evangelos +3 more
core +3 more sources
Using different mapping techniques and GIS programs in the analysis and visualisation of mental maps
The paper presents the review of mapping techniques applied in research using mental maps. The review covers both evaluative and structural mapping. The choice of a method is influenced by the level of freedom given to the respondents while creating ...
Szombara Stanisław
doaj +1 more source
FaceShop: Deep Sketch-based Face Image Editing [PDF]
We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest.
Bigdeli, Siavash Arjomand +5 more
core +2 more sources
External representations powerfully support and augment complex human behavior. When navigating, people often consult external representations to help them find the way to go, but do maps or verbal instructions improve spatial knowledge or support ...
Allison J. Jaeger +3 more
doaj +1 more source
Edge-Guided Cross-Domain Learning with Shape Regression for Sketch-Based Image Retrieval
Sketch-based image retrieval (SBIR) is a challenging task due to the cross-domain gap between sketch queries and natural images. In this paper, we propose a novel edge-guided cross-domain learning network to reduce the domain gap.
Yuxin Song +5 more
doaj +1 more source
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks
We propose a method for reconstructing 3D shapes from 2D sketches in the form of line drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a dense point cloud representing a 3D reconstruction of the input sketch(es). The
Gadelha, Matheus +4 more
core +1 more source
Digital sketch maps in teaching GIS for law enforcement students
. This paper presents a project-based learning method designed by teachers of GIS for students in public order. The aim of the method is to utilize GIS technologies for analysing digital sketch maps made after interviewing people by students. This method
Andrea Pődör, L. Zentai, E. Gál
semanticscholar +1 more source
Self-Sparse Generative Adversarial Networks
Generative adversarial networks (GANs) are an unsupervised generative model that learns data distribution through adversarial training. However, recent experiments indicated that GANs are difficult to train due to the requirement of optimization in the ...
Wenliang Qian +3 more
doaj +1 more source

