Feature integration analysis of bag-of-features model for image retrieval
One of the biggest challenges in content based image retrieval is to solve the problem of
“semantic gaps” between low-level features and high-level semantic concepts. In this paper …
“semantic gaps” between low-level features and high-level semantic concepts. In this paper …
Scale-invariant features for 3-D mesh models
In this paper, we present a framework for detecting interest points in 3-D meshes and
computing their corresponding descriptors. For that, we propose an intrinsic scale detection …
computing their corresponding descriptors. For that, we propose an intrinsic scale detection …
Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor
Automating dimensional compliance control and progress tracking using computer vision
has been identified as a central opportunity for improvement in the construction industry …
has been identified as a central opportunity for improvement in the construction industry …
A survey on partial retrieval of 3D shapes
Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model
modeling, object recognition, and 3D content classification. Recently more and more …
modeling, object recognition, and 3D content classification. Recently more and more …
Feature integration of EODH and Color-SIFT: Application to image retrieval based on codebook
X Tian, L Jiao, X Liu, X Zhang - Signal Processing: Image Communication, 2014 - Elsevier
This paper proposes a new feature descriptor, edge orientation difference histogram
(EODH) descriptor, which is a rotation-invariant and scale-invariant feature representation …
(EODH) descriptor, which is a rotation-invariant and scale-invariant feature representation …
Experimenting liver fibrosis diagnostic by two photon excitation microscopy and bag-of-features image classification
The accurate staging of liver fibrosis is of paramount importance to determine the state of
disease progression, therapy responses and to optimize disease treatment strategies. Non …
disease progression, therapy responses and to optimize disease treatment strategies. Non …
Intrinsic spatial pyramid matching for deformable 3d shape retrieval
In this paper, we present an intrinsic spatial pyramid matching approach for 3D shape
retrieval. Motivated by the fact that the second eigenfunction of Laplace–Beltrami operator …
retrieval. Motivated by the fact that the second eigenfunction of Laplace–Beltrami operator …
Better object recognition using bag of visual word model with compact vocabulary
VD Sachdeva, E Fida, J Baber… - 2017 13th …, 2017 - ieeexplore.ieee.org
Searching the information from the web has attracted the attention of industries and
researchers, relaying mainly on text based queries. Text based queries are foundation of …
researchers, relaying mainly on text based queries. Text based queries are foundation of …
AVR (advancing video retrieval): A new framework guided by multi-level fusion of visual and semantic Features for deep learning-based concept detection
Currently, there is a lack of theoretical studies that approach classification and machine
learning from a general perspective, without focusing on specific applications. While these …
learning from a general perspective, without focusing on specific applications. While these …
Multimodal video indexing (mvi): A new method based on machine learning and semi-automatic annotation on large video collections
Indexing video by the concept is one of the most appropriate solutions for such problems. It
is based on an association between a concept and its corresponding visual sound, or textual …
is based on an association between a concept and its corresponding visual sound, or textual …