IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION

Visual Image Retrieval and Localization

Image Retrieval for Image-Based Localization Revisited

To reliably determine the camera pose of an image relative to a 3D point cloud of a scene, correspondences between 2D features and 3D points are needed. Recent work has demonstrated that directly matching the features against the points outperforms methods that take an intermediate image retrieval step in terms of the number of images that can be localized successfully. Yet, direct matching is ...

From Text to Image: Generating Visual Query for Image Retrieval

In this paper, we explore the help of visual features to cross-language image retrieval. We propose an approach that transforms textual queries into visual representations. The relationships between text and images are modeled. Visual queries are constructed from textual queries using the relationships. The retrieval results using textual and visual queries are combined to generate the final ra...

Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval

In this paper, a relevance feedback scheme for both keyword and visual feature-based image retrieval is proposed. For each keyword, a statistical model is trained offline based on visual features of a small set of manually labeled images and used to propagate the keyword to other unlabeled ones. Besides the offline model, another model is constructed online using the user provided positive and ...

A Novel Feature Matching Strategy for Large Scale Image Retrieval

Feature-to-feature matching is the key issue in the Bag-of-Features model. The baseline approach employs a coarse feature-to-feature matching, namely, two descriptors are assumed to match if they are assigned the same quantization index. However, this Hard Assignment strategy usually incurs undesirable low precision. To fix it, Multiple Assignment and Soft Assignment are proposed. These two met...