We present a facial view synthesis technique based on explicit shape and reflectance information extracted from a single image. The technique combines an image based reflectance estimation process with a novel method of interpolating between needle-maps recovered using shape from shading. This allows images of a face to be synthesised under novel lighting, pose and skin reflectance given only o...

We examined the influence of shape similarity and object labels on 13-month-old infants' inductive inferences. In two experiments, infants were presented with novel target objects with or without a nonobvious property, followed by test objects that varied in shape similarity to the target. When objects were not labeled, infants generalized the nonobvious property to test objects that were highl...

This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that evolving neighboring contours should avoid overlapping with each other and this should be able to aid in multiple neighboring objects segmentation. A novel energy functional is proposed, which incorporates both prior shape infor...

We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contributions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.

This paper presents a novel shape representation, called elliptical shape coding, and uses it to develop an efficient shape retrieval algorithm. The elliptical shape coding transforms an original shape, which is a single, closed contour in our experiments, into a periodic signal. The alignment between two shapes is accomplished efficiently by performing convolution of the corresponding periodic...

due to the algorithmic simplicity, cellular automata (ca) models are useful and simple methods in structural optimization. in this paper, a cellular-automaton-based algorithm is presented for simultaneous shape and topology optimization of continuum structures, using five-step optimization procedure. two objective functions are considered and the optimization process is converted to the single ...

the accuracy and efficiency of the elements proposed by finite element method (fem) considerably depend on the interpolating functions namely shape functions used to formulate the displacement field within the element. in the present study, novel functions, namely basic displacements functions (bdfs), are introduced and exploited for structural analysis of nanobeams using finite element method ...

Alzheimer's disease (AD) is a no-cure disease that has been frustrating the scientists for many years. Analyzing the disease has become an important but challenging research topic. The shape analysis of the sub-cortical structure of AD patients has been commonly used to understand this disease. In this paper, we assess the feasibility of using shape information on the hippocampal (HP) surfaces ...