DocumentCode
1768810
Title
Implementation details of mid-level vision on the Embedded Vision Engine (EVE)
Author
Kamath, Sanmati ; Dabral, Shashank ; Sankaran, Jagadeesh ; Valentine, Brian ; Kisacanin, Branislav
Author_Institution
Texas Instrum. Inc., Dallas, TX, USA
fYear
2014
fDate
1-5 June 2014
Firstpage
1283
Lastpage
1287
Abstract
In this paper we introduce the Embedded Vision Engine (EVE), a novel vision accelerator designed to complement digital signal processors on low- and mid-level vision algorithms. We illustrate EVE´s performance on three important mid-level vision functions, the Hough transform for circles, integral image and calculating the Rotation invariant Binary Robust Independent Elementary Feature (RBRIEF) descriptor. EVE can execute these functions 4 times faster than the state-of-the-art digital signal processor. With other vision functions accelerated 3-12X, the acceleration of these popular vision functions contribute to the application level speed up of 5x on common automotive vision applications. This demonstrates that EVE, while working at powers comparable to the power of a DSP core, can deliver significant boost in performance.
Keywords
automobiles; computer vision; digital signal processing chips; embedded systems; feature extraction; traffic engineering computing; DSP core; EVE; Hough transform; RBRIEF; automotive vision applications; digital signal processors; embedded vision engine; low-level vision algorithms; mid-level vision algorithms; midlevel vision; rotation invariant binary robust independent elementary feature descriptor; vision accelerator; Algorithm design and analysis; Automotive engineering; Digital signal processing; Histograms; Signal processing algorithms; Transforms; Vectors; Embedded Programming; Vector SIMD Processing; Vision Processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location
Melbourne VIC
Print_ISBN
978-1-4799-3431-7
Type
conf
DOI
10.1109/ISCAS.2014.6865377
Filename
6865377
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