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Previous palaeontological applications of LiDAR have shown the REIGL LMS-Z420i is capable of sub-centimetre modelling of object geometry from a variety of ranges [49] [50].
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We presented a system for visual perception that allows interactive modelling of objects in terms of planar patches.
This allows to focus on the modeling of object interactions.
They used mathematical models of object responses to indoor-climate variations.
The results confirm that the present model of object detection, based on CSC, outperforms state-of-the-art of shape-based detection methods.
This is contrary to the widespread assumption of translational invariance of inferotemporal cortex responses in computational models of object recognition.
In broader theoretical terms, the present results pose a challenge for image-based models of object recognition.
Despite these species differences, the overall findings are consistent with view-based models of object recognition [10], [15].
Recently, pictorial models of object representation which emphasise the differential contribution of image features at several hierarchically organised stages of classification have emerged [42].
To address these questions, we studied an animal model of object recognition; filial imprinting, in which young birds learn to recognize an audiovisual stimulus [15].
A key issue for models of object recognition has been to understand how we achieve object constancy by abstracting away from irrelevant variation in the input caused by changes in viewing position and lighting conditions (e.g. [23] [26]).
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