… has recently attracted great research interest as it holds more promise than single image …
for image set classification. An image set is represented as a triplet: a number of image samples…

… • On the task of 3D reconstruction from a single image, we apply our point set generation …
2D image (RGB or RGB-D). We represent the 3D shapes in the form of unordered point set S = {…

… the points to control the fidelity of the representation. To display the point set surface, we
introduce a novel point … The idea is to evaluate the local maps according to the image resolution. …

… established interest point detectors on this data set and … all images in our data set are known
with high precision, which provides a basis for the relationship between points in one image …

… point detectors in this context for selecting a sparse set of points for computing image descriptors
for image… For detecting interest points at any given scale, we make use of the Laplacian \…

… of tracking a set of feature points over a long sequence of monocular images as well as how
… feel that tracking a feature point is a local problem whenever 2-D image motion models are …

… top-points highly suitable as anchor points for invariant matching schemes. By means of a
set of … the performance of top-points and differential invariant features as image descriptors. …

… a set of small conterminous images into one large image. … This section describes the analyses
of a set of images covering … point component in the image has significantly varied over the …

… Since a typical image has more than a quarter of a million points, having a surface pass
exactly through a set of arbitrary points of that image, implies that the interpolation surface will …

… We show in Figure 1 an original and noisy signal, together with two points, where 4 = 0 …
Results on a noisy image, using our level set algorithm for the Mumford-Shah model. The …