VISUAL PRIMITIVES: LOCAL, CONDENSED, SEMANTICALLY RICH VISUAL DESCRIPTORS AND THEIR APPLICATIONS IN ROBOTICS

被引:17
|
作者
Pugeault, Nicolas [1 ]
Woergoetter, Florentin [2 ]
Krueger, Norbert [3 ]
机构
[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Surrey GU2 7XH, England
[2] Univ Gottingen, Computat Neurosci Grp, Dept Computat Neurosci, Bernstein Ctr, D-37083 Gottingen, Germany
[3] Univ So Denmark, Maersk McKinney Moller Inst, DK-5230 Odense M, Denmark
关键词
Early cognitive vision; scene representation; vision-based robotics; RECOGNITION; FIELDS;
D O I
10.1142/S0219843610002209
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
We present a novel representation of visual information, based on local symbolic descriptors, that we call visual primitives. These primitives: (1) combine different visual modalities, (2) associate semantic to local scene information, and (3) reduce the bandwidth while increasing the predictability of the information exchanged across the system. This representation leads to the concept of early cognitive vision that we define as an intermediate level between dense, signal-based early vision and high-level cognitive vision. The framework's potential is demonstrated in several applications, in particular in the area of robotics and humanoid robotics, which are briefly outlined.
引用
收藏
页码:379 / 405
页数:27
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