Papers 3D Shape Classification
“3D Shape Classification” 태그가 달린 논문 85편 · 필터 해제
3D Deep Shape Descriptor
Shape descriptor is a concise yet informative representation that provides a 3D object with an identification as a member of some category. This paper developed a concise deep shape descriptor for the first time to addre…
3D Shape Classification3D Shape RetrievalRetrievalSketch-based 3D Shape Retrieval using Convolutional Neural Networks
Retrieving 3D models from 2D human sketches has received considerable attention in the areas of graphics, image retrieval, and computer vision. Almost always in state of the art approaches a large amount of "best views" …
3D Shape Classification3D Shape RetrievalImage RetrievalRetrievalA Stable Multi-Scale Kernel for Topological Machine Learning
Topological data analysis offers a rich source of valuable information to study vision problems. Yet, so far we lack a theoretically sound connection to popular kernel-based learning techniques, such as kernel SVMs or ke…
3D Shape ClassificationBIG-bench Machine LearningGeneral ClassificationRetrieval+1Deep Learning Representation using Autoencoder for 3D Shape Retrieval
We study the problem of how to build a deep learning representation for 3D shape. Deep learning has shown to be very effective in variety of visual applications, such as image classification and object detection. However…
3D Shape Classification3D Shape Recognition3D Shape RetrievalDeep Learning+5Persistence-based Structural Recognition
This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and in…
3D Shape Classification3D Shape RetrievalGesture RecognitionHand Gesture Recognition+4