Geometric matching under uncertainty is a long-standing problem in computer vision. This paper presents a simple and efficient algorithm for finding globally optimal solutions to geometric matching problems under a wide variety of allowable transformations (translations, isometries, equiform transformations, others) and a wide variety of allowable feature types (point features, oriented point f...

3D data modelling is one of the key problems within research works of 3D GIS. This paper focused on the research of a topological model based on space partition for 3D GIS. Firstly the formal definition of 3D spatial features were given. Then the methods for calculating topological properties to support simplexes topologically equivalent to an n-manifold with (n-1)-pseudomanifold boundary cycle...

Automatic facial expression recognition is one of the most interesting problem as it impacts on important applications in humancomputer interaction area. Many applications in this field require realtime performance but not all the approach are suitable to satisfy this requirement. Geometrical features are usually the most light in terms of computational load but sometimes they exploits a huge n...

Many state-of-the art visualization techniques must be tailored to the specific type of dataset, its modality (CT, MRI, etc.), the recorded object or anatomical region (head, spine, abdomen, etc.) and other parameters related to the data acquisition process. While parts of the information (imaging modality and acquisition sequence) may be obtained from the meta-data stored with the volume scan,...

Noninvasive imaging of atherosclerotic disease provides a powerful opportunity to gain insight into the complex chain of events underlying atherogenesis, plaque progression, and ultimately those processes that result in atherothrombosis with accompanying clinical symptoms. MRI is particularly attractive because it is noninvasive and is capable of providing a rich array of information on vascula...

We have been interested in a visual servoing system for several years. Visual servoing is based on an array of measurements taken from a set of images and used each time as an error function to compute a control vector. This is applied to the system (robot and camera) and makes it move in order to reach a desired situation, at the end of the task, directly depicted in the image. The originality...

Two experiments are reported that used fMRI to compare the brain activation during the imagery of material and geometric object features. In the first experiment, participants were to mentally evaluate objects along either a material dimension (roughness, hardness and temperature; e.g., Which is harder, a potato or a mushroom?) or a geometric dimension (size and shape; e.g., Which is larger, a ...

Content_based image retrieval is a promising approach because of its automatic indexing, recognition and retrieval. This paper is a contribution in the field of the content Based Image Retrieval (CBIR). Objects are represented by their outlines shapes (silhouettes) and described following the XLWDOS Textual Description (Larabi et al., 2003). Textual Descriptors are sensitive to noise. The autho...

A new approach to indexing in model-based vision is introduced; using indexing features whose deformed instances are present in a number of different object models. Hypotheses are generated by matching an indexing feature with an image using a viewing transformation incorporating the deformation; the parameter values of the deformational component provide specific indices to those models relate...

1041 and then the line invariant (6) was computed for each pair of line sets and compared using the metric (7). The sets of lines chosen are given in the following table (refer to Fig. I). The table in (9) shows the results. The only bad entry in this matnx is in the position (4, 4). This is because of the fact that the four lines chosen,contained three coplanar lines (lines B. D and E). This c...