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Interframe coding of Feature Descriptors for Mobile Augmented Reality

IEEE TRANSACTIONS ON IMAGE PROCESSING 2014年第8期23卷 3352-3367页

作者： Makar, Mina Chandrasekhar, Vijay Tsai, Sam S. Chen, David Girod, Bernd Qualcomm Inc San Diego CA 92121 USA Stanford Univ Dept Elect Engn Stanford CA 94305 USA Inst Infocomm Res Singapore 138632 Singapore

Streaming mobile augmented reality applications require both real-time recognition and tracking of objects of interest in a video sequence. Typically, local features are calculated from the gradients of a canonical patch around a keypoint in individual video frames. In this paper, we propose a temporally coherent keypoint detector and design efficient interframe predictive coding techniques for canonical patches, feature descriptors, and keypoint locations. In the proposed system, we strive to transmit each patch or its equivalent feature descriptor with as few bits as possible by modifying a previously transmitted patch or descriptor. Our solution enables server-based mobile augmented reality where a continuous stream of salient information, sufficient for image-based retrieval, and object localization, is sent at a bit-rate that is practical for today's wireless links and less than one-tenth of the bit-rate needed to stream the compressed video to the server.

关键词： Augmented reality canonical patch coding descriptor coding image matching

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INTERFRAME coding OF canonical patchES FOR LOW BIT-RATE MOBILE AUGMENTED REALITY

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INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING 2013年第1期7卷 5-24页

作者： Makar, Mina Tsai, Sam S. Chandrasekhar, Vijay Chen, David Girod, Bernd Stanford Univ Dept Elect Engn Stanford CA 94305 USA

Local features are widely used for content-based image retrieval and augmented reality applications. Typically, feature descriptors are calculated from the gradients of a canonical patch around a repeatable keypoint in the image. In this paper, we propose a temporally coherent keypoint detector and design effcient interframe predictive coding techniques for canonical patches and keypoint locations. In the proposed system, we strive to transmit each patch with as few bits as possible by simply modifying a previously transmitted patch. This enables server-based mobile augmented reality where a continuous stream of salient information, suffcient for image-based retrieval and localization, can be sent over a wireless link at a low bit-rate. Experimental results show that our technique achieves a similar image matching performance at 1/15 of the bit-rate when compared to detecting keypoints independently frame-by-frame and allows performing streaming mobile augmented reality at low bit-rates of about 20 - 50 kbps, practical for today's wireless links.

关键词： Augmented reality canonical patch coding image matching

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