Synergies between optical and physical variables in intercepting parabolic targets

被引:17
|
作者
Gomez, Jose [1 ]
Lopez-Moliner, Joan [2 ,3 ]
机构
[1] Univ Politecn Cataluna, Dept Matemat Aplicada 4, Barcelona, Spain
[2] Univ Barcelona, Inst Brain Cognit & Behav IR3C, Barcelona 08035, Catalonia, Spain
[3] Univ Barcelona, Dept Psicol Basica, Barcelona 08035, Catalonia, Spain
来源
FRONTIERS IN BEHAVIORAL NEUROSCIENCE | 2013年 / 7卷
关键词
interceptive timing; parabolic trajectories; prior knowledge; time-to-contact; 3D motion perception; VISUAL INFORMATION; INTERNAL-MODELS; TIME; CONTACT; BALL; OBJECTS; INITIATION; EXPANSION; MOTION; SPEED;
D O I
10.3389/fnbeh.2013.00046
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Interception requires precise estimation of time-to-contact (TTC) information. A long-standing view posits that all relevant information for extracting TTC is available in the angular variables, which result from the projection of distal objects onto the retina. The different timing models rooted in this tradition have consequently relied on combining visual angle and its rate of expansion in different ways with tau being the most well-known solution for TTC. The generalization of these models to timing parabolic trajectories is not straight forward. For example, these different combinations rely on isotropic expansion and usually assume first-order information only, neglecting acceleration. As a consequence no optical formulations have been put forward so far to specify TTC of parabolic targets with enough accuracy. It is only recently that context-dependent physical variables have been shown to play an important role in TTC estimation. Known physical size and gravity can adequately explain observed data of linear and free-falling trajectories, respectively. Yet, a full timing model for specifying parabolic TTC has remain edelusive. We here derive two formulations that specify TTC for parabolic ball trajectories. The first specification extends previous models in which known size is combined with thresholding visual angle or its rate of expansion to the case of fly balls. To efficiently use this model, observers need to recover the 3D radial velocity component of the trajectory which conveys the isotropic expansion. The second one uses knowledge of size and gravity combined with ball visual angle and elevation angle. Taking into account the noise due to sensory measurements, we simulate the expected performance of these models in terms of accuracy and precision. While the model that combines expansion information and size knowledge is more efficient during the late trajectory, the second one is shown to be efficient along all the flight.
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页数:16
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