منابع مشابه
Do Ambiguous Reconstructions Always Give Ambiguous Images?
In many cases self-calibration is not able to yield a unique solution for the 3D reconstruction of a scene. This is due to the occurrence of critical motion sequences. If this is the case, an ambiguity is left on the reconstruction. In this paper it is derived under which conditions correct novel views can be generated from ambiguous reconstructions. The problem is first approached from a theor...
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Despite much progress on entity-oriented Web search and automatically constructed knowledge bases with millions of entities, it is still difficult to find images of named entities like people or places. While images of famous entities are abundant on the Internet, they are much harder to retrieve for less popular entities such as notable computer scientists or regionally interesting churches. Q...
متن کاملImplicit perceptual memory modulates early visual processing of ambiguous images.
The way we perceive the present visual environment is influenced by past visual experiences. Here we investigated the neural basis of such experience dependency. We repeatedly presented human observers with an ambiguous visual stimulus (structure-from-motion) that can give rise to two distinct perceptual interpretations. Past visual experience is known to influence the perception of such stimul...
متن کاملMental images can be ambiguous: reconstruals and reference-frame reversals.
Philosophers and psychologists have debated whether or not mental images of ambiguous figures are reversible as pictures of such figures are. Previously, empirical evidence both pro (Finke, Pinker, & Farah, 1989) and con (Chambers & Reisberg, 1985) has been obtained. In a series of four experiments, we identify the conditions under which images of classic ambiguous figures like the duck/rabbit ...
متن کاملEvolving Images Using Transparent Overlapping Polygons
Our project attempted to use machine learning to recreate or redefine features of an image using an arrangement of transparent overlapping polygons. From genetic algorithm[1] and hill climbing[2], we came up an implementation that starts by generating a random sequence of polygons then iteratively mutating the sequence (slightly modifying a random attribute of a random polygon), incrementally b...
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ژورنال
عنوان ژورنال: AI Matters
سال: 2015
ISSN: 2372-3483
DOI: 10.1145/2813536.2813539