Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …
Learning high-level feature by deep belief networks for 3-D model retrieval and recognition
3-D shape analysis has attracted extensive research efforts in recent years, where the major
challenge lies in designing an effective high-level 3-D shape feature. In this paper, we …
challenge lies in designing an effective high-level 3-D shape feature. In this paper, we …
3D shape recognition and retrieval based on multi-modality deep learning
For 3D shape analysis, an effective and efficient feature is the key to popularize its
applications in 3D domain where the major challenge lies in designing an effective high …
applications in 3D domain where the major challenge lies in designing an effective high …
3D shape classification and retrieval based on polar view
This paper presents a novel approach for classifying and retrieving 3D shapes. We first
propose a new polar view based strategy that, by using 360-degree projection, effectively …
propose a new polar view based strategy that, by using 360-degree projection, effectively …
Fisher encoding of differential fast point feature histograms for partial 3D object retrieval
Partial 3D object retrieval has attracted intense research efforts due to its potential for a wide
range of applications, such as 3D object repair and predictive digitization. This work …
range of applications, such as 3D object repair and predictive digitization. This work …
Scale space clustering evolution for salient region detection on 3d deformable shapes
Salient region detection without prior knowledge is a challenging task, especially for 3D
deformable shapes. This paper presents a novel framework that relies on clustering of a …
deformable shapes. This paper presents a novel framework that relies on clustering of a …
Automatic cables segmentation from a substation device based on 3D point cloud
The point cloud segmentation of a substation device attached with cables is the basis of
substation identification and reconstruction. However, it is limited by a number of factors …
substation identification and reconstruction. However, it is limited by a number of factors …
Reconstruction of artifacts from digital image repositories
The US Patent Office maintains an archive of cultural artifacts of both ornamental and
functional designs. Design patents protect “any new, original, and ornamental design for an …
functional designs. Design patents protect “any new, original, and ornamental design for an …
Local deep feature learning framework for 3D shape
For 3D shape analysis, an effective and efficient feature is the key to popularize its
applications in 3D domain. In this paper, we present a novel framework to learn and extract …
applications in 3D domain. In this paper, we present a novel framework to learn and extract …
[PDF][PDF] Partial 3d object retrieval combining local shape descriptors with global fisher vectors
I Pratikakis, M Spagnuolo, T Theoharis, L Van Gool… - 2015 - diglib.eg.org
This work introduces a partial 3D object retrieval method, applicable on both meshes and
point clouds, which is based on a hybrid shape matching scheme combining local shape …
point clouds, which is based on a hybrid shape matching scheme combining local shape …