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Computer vision techniques can enhance landmark-based navigation by better utilizing online photo collections. We use spatial reasoning to compute camera poses, which are then registered to the world using GPS information extracted from the image tags. Computed camera pose is used to augment the images with navigational arrows that fit the environment. We develop a system to use high-level reasoning...
Many mobile visual search (MVS) systems transmit query data from a mobile device to a remote server and search a database hosted on the server. In this paper, we present a new architecture for searching a large database directly on a mobile device, which can provide numerous benefits for network-independent, low-latency, and privacy-protected image retrieval. A key challenge for on-device retrieval...
We present a mobile visual search system that utilizes both text and low bit-rate image features. Using a cameraphone, a user can snap a picture of a document image and search for the document in online databases. From the query image, the title text is detected and recognized and image features are extracted and compressed, as well. Both types of information are sent from the cameraphone client to...
Most mobile visual search (MVS) systems query a large database stored on a server. This paper presents a new architecture for searching a large database directly on a mobile device, which has numerous benefits for network-independent, low-latency, and privacy-protected image retrieval. A key challenge for on-device MVS is storing a memory-intensive database in the limited RAM of the mobile device...
With recent advances in mobile computing, the demand for visual localization or landmark identification on mobile devices is gaining interest. We advance the state of the art in this area by fusing two popular representations of street-level image data — facade-aligned and viewpoint-aligned — and show that they contain complementary information that can be exploited to significantly improve the recall...
In this paper, they address a key challenge for scaling image search up to larger databases: the amount of memory consumed by the inverted index. In a VT-based image retrieval system, the most memory-intensive structure is the inverted index. For example, in a database of one million images where each image contains hundreds of features, the inverted index consumes 2.5 GB of RAM. Such large memory...
We present a method for automatically constructing compact, photo-realistic architectural 3D models. This method uses simple 3D building outlines obtained from existing GIS databases to bootstrap reconstruction and works with both structured and unstructured image datasets. We propose an optimal view-selection algorithm for selecting a small set of views for texture mapping that best describe the...
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