Application-specific instruction processor for extracting local binary patterns
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | DASIP 2012 - Proceedings of the 2012 Conference on Design and Architectures for Signal and Image Processing |
| Pages | 82-89 |
| Number of pages | 8 |
| Publication status | Published - 2012 |
| Publication type | A4 Article in a conference publication |
| Event | 6th Annual Conference on Design and Architectures for Signal and Image Processing, DASIP 2012 - Karlsruhe, Germany Duration: 23 Oct 2012 → 25 Oct 2012 |
Conference
| Conference | 6th Annual Conference on Design and Architectures for Signal and Image Processing, DASIP 2012 |
|---|---|
| Country | Germany |
| City | Karlsruhe |
| Period | 23/10/12 → 25/10/12 |
Abstract
Local Binary Pattern (LBP) is texture operator used in preprocessing for object detection, tracking, face recognition and fingerprint matching. Many of these applications are performed on embedded devices, which poses limitations on the implementation complexity and power consumption. As LBP features are computed pixelwise, high performance is required for real time extraction of LBP features from high resolution video. This paper presents an application-specific instruction processor for LBP extraction. The compact, yet powerful processor is capable of extracting LBP features from 1280 × 720p (30 fps) video with a reasonable 304 MHz clock rate. With a low power consumption and an area of less than 16k gates the processor is suitable for embedded devices. Experiments present resource and power consumption measured on an FPGA board, along with processor synthesis results. In terms of latency, our processor requires 17.5 × less clock cycles per LBP feature than a workstation implementation and only 2.0 × more than a hardwired ASIC.
ASJC Scopus subject areas
Keywords
- Digital signal processors, Feature extraction, Image texture analysis, Video signal processing