Xiaoyu He

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In this paper, a new 3D-object-recognition method for robotic assembly workcells is presented. The proposed method is focused on two basic concepts , namely active vision and object pre-conditioning. The paper will briefly present the main aspects of the proposed system. 1. The Proposed Recognition Method [l] Herein, it is proposed to model an object using(More)
For a finite abelian group G and a positive integer k, let s k (G) denote the smallest integer ℓ ∈ N such that any sequence S of elements of G of length |S| ≥ ℓ has a zero-sum subsequence with length k. The celebrated Erd˝ os-Ginzburg-Ziv theorem determines s n (C n) = 2n − 1 for cyclic groups C n , while Reiher showed in 2007 that s n (C 2 n) = 4n − 3. In(More)
A novel active-vision system for 3-D object recognition was developed. The vision system combines object pre-marking and active sensing. Therein, an object is modeled by a few of its 2-D perspective (standard) views, each with a corresponding viewing axis defined by a marker placed on the object. The operation of the active-vision system is characterized by(More)
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