The reconstruction of specular shape from images is a very challenging task, especially when the illumination environment is unknown. In such cases, the problem becomes more tractable once the camera observes relative motion between the object and the environment, which induces a type of optical flow field that has become known as specular flow. Unfortunately, however, the estimation of specula...

We have used observations taken under the FUSE S405/S505 channel realignment program to explore the diffuse FUV (1000 1200 Å) radiation field. Of the 71 independent locations in that program, we have observed a diffuse signal in 32, ranging in brightness from 1600 photons cm sr s Å to a maximum of 2.9× 10 photons cm sr s Å in Orion. The FUSE data confirm that the diffuse FUV sky is patchy with ...

Similarity-based retrieval from shape databases typically employs a pairwise shape matcher and one or more indexing techniques. In this paper, we focus specifically on the design of a pairwise matcher for retrieval of 2-D shape contours. In the past, the matchers used for the oneto-many problem of shape retrieval were often designed for the problem of matching an isolated pair of shapes. This a...

Short overview of the Chapter—Computer-aided foliage image retrieval systems have the potential to dramatically speed up the process of plant species identification. Despite previous research, this problem remains challenging due to the large intra-class variability and inter-class similarity of leaves. This is particularly true when a large number of species are involved. In this chapter, we p...

If we are to fully understand the reasons that cells and tissues move and acquire their distinctive geometries during processes such as embryogenesis and wound healing, we will need detailed maps of the forces involved. One of the best current prospects for obtaining this information is noninvasive force-from-images techniques such as CellFIT, the Cellular Force Inference Toolkit, whose various...

This paper proposes a novel multi-layered gesture recognition method with Kinect. We explore the essential linguistic characters of gestures: the components concurrent character and the sequential organization character, in a multi-layered framework, which extracts features from both the segmented semantic units and the whole gesture sequence and then sequentially classifies the motion, locatio...