Thumbnail galleries for procedural models

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Thumbnail galleries for procedural models

Procedural modeling allows for the generation of innumerable variations of models from a parameterized, conditional or stochastic rule set. Due to the abstractness, complexity and stochastic nature of rule sets, it is often very difficult to have an understanding of the diversity of models that a given rule set defines. We address this problem by presenting a novel system to automatically gener...

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Procedural Learning: Cerebellum Models

Article Synopsis: (100 words) The cerebellum is a key structure for the control of movement. However, the exact role of the cerebellum in motor control is unclear or at least highly controversial. One prominent hypothesis is that the cerebellum is important for motor learning. We review the evidence used to support this hypothesis during procedural or skill learning and find that though it is c...

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a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

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Graphical Interface Models for Procedural Mesh Growing

Procedural modeling allows to create highly complex 3D scenes from a small set of construction rules, which has several advantages over storing the full data of an object. The most important ones are a very small memory footprint and the ability to generate infinite variations of one prototype object by using the same set of rules. However, the problem that procedural modeling imposes on the us...

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A procedural method for irregular tree models

We present a method to generate models for trees in which we first create a weighted graph, organized based on the Yao graph, then place endpoints and root point and plan least-cost paths from endpoints to the root point. The collection of resulting paths forms a branching structure. We create a hierarchical tree structure by placing subgraphs around each endpoint and beginning again through so...

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ژورنال

عنوان ژورنال: Computer Graphics Forum

سال: 2014

ISSN: 0167-7055

DOI: 10.1111/cgf.12317