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DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
In this paper, we address the problem of high performance and computationally efficient content-based video retrieval in large-scale datasets....
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Learning accurate template matching with differentiable coarse-to-fine correspondence refinement
Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for...
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Cancelable face recognition using phase retrieval and complex principal component analysis network
Considering the necessity of sensitive information protection in face image, a cancelable template generation model for multimodal face images is...
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Average increment scale-invariant heat kernel signature for 3D non-rigid shape analysis
In recent years, spectral shape descriptors have attracted much attention because the Laplace-Beltrami operator(LBO) has good characteristics for...
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Rotation invariance and equivariance in 3D deep learning: a survey
Deep neural networks (DNNs) in 3D scenes show a strong capability of extracting high-level semantic features and significantly promote research in...
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3D Shape Similarity Measurement Based on Scale Invariant Functional Maps
In recent years, the research focus on shape analysis has centered around the similarity and consistency of 3D models. The matching results derived...
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An elliptical sampling based fast and robust feature descriptor for image matching
Local features of an image provide a robust way of image matching if they are invariant to large variations in scale, viewpoint, illumination,...
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Deep features based medical image retrieval
In this paper, deep convolutional neural network model is developed for classification and image retrieval purpose. Deep learning techniques obtained...
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Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching
Substitution matrices, which are crafted to quantify the functional impact of substitutions or deletions in biomolecules, are central component of...
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Detecting 3D Texture on Cultural Heritage Artifacts
Textures in 3D meshes represent intrinsic surface properties and are essential for numerous applications, such as retrieval, segmentation, and...
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Feature Detection and Matching
Feature detection and matching are an essential component of many computer vision applications. Consider the two pairs of images shown in Figure 7.2....
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Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
This paper presents findings of the eleventh Video Browser Showdown competition, where sixteen teams competed in known-item and ad-hoc search tasks....
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3D point cloud-based place recognition: a survey
Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial role in simultaneous localization and map** (SLAM)...
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Shell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell...
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Cross-domain image retrieval: methods and applications
Cross-domain images have been witnessed in an increasing number of applications. This new trend triggers demands for cross-domain image retrieval...
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3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative...
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A deep feature matching pipeline with triple search strategy
Local feature matching between images is a challenging task, and current research focuses on pursuing higher accuracy matching results at the cost of...
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3D-FUTURE: 3D Furniture Shape with TextURE
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric...
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Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network
The 2D-3D matching determine the spatial relationship between 2D and 3D space, which can be used for Augmented Reality (AR) and robot pose...
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3D Object retrieval based on non-local graph neural networks
3D object retrieval is a hot research field in computer vision and multimedia analysis domain. Since the appearance feature and points of view of 3D...
