Optimizations are crucial to meet the performance, power and cost requirements that DSP and embedded systems have. The aim of the ODES workshop is to give the opportunity to researchers and practitioners working on this, to share their findings and get feedback.

Abstract: We describe an efficient contour-based object recognition technique suitable for searching objects in clutter. The key innovation is the use of high-level knowledge concerning the target object so that mid-level visual processes are directly influenced. Using the recently introduced image torque operator, potential locations of objects are first detected as attention points.