The first stage in computer aided pulmonary nodule detection schemes is a candidate detection step designed to provide a simplified representation of the lung anatomy, such that features like the lung wall, and large airways are removed leaving only data which has greater potential to be a nodule. Nodules which are connected to blood vessels tend to be characterized by irregular geometrical fea...

It is hard to percept the interaction process with machines when visual information is not available. In this paper, we have addressed this issue to provide interaction through visual techniques. Posture recognition is done for American Sign Language to recognize static alphabets and numbers. 3D information is exploited to obtain segmentation of hands and face using normal Gaussian distribution...

In this paper, we present a new method for face recognition using range data. The proposed method is based on both global statistics of geometrical features and local statistics of correlative features of facial surfaces. Firstly, we analyze the performances of common geometrical representations by using global histograms for matching. Secondly, we propose a new method to encode the relationshi...

In the paper the main attention is paid to conditions on algebras from a given variety Θ which provide coincidence of their algebraic geometries. The main part here play the notions mentioned in the title of the paper.

High resolution IKONOS stereo imagery provides an important data source for threedimensional scene extraction. In urban areas, it has been long a challenge topic to automatically extract urban objects from images due to the high object density and scene complexity. In this paper, we propose a new method for automatic 3d building reconstruction from IKONOS stereo images. Our approach is based on...

This paper proposes a robust tracking method which concatenates appearance and geometrical features to re-identify human in non-overlapping views. A uniformly-partitioning method is proposed to extract local HSV(Hue, Saturation, Value) color features in upper and lower portion of clothing. Then adaptive principal view selecting algorithm is presented to locate principal view which contains maxi...

Geometrically accurate and anatomically correct 3D models of the human bones are of great importance for medical research and practice in orthopedics and surgery. These geometrical models can be created by the use of techniques which can be based on input geometrical data acquired from volumetric methods of scanning (e.g., Computed Tomography (CT)) or on the 2D images (e.g., X-ray). Geometrical...

Recent evolutions on forging process induce more complex shape on forging die. These evolutions, combined with High Speed Machining (HSM) process of forging die lead to important increase in time for machining preparation. In this context, an original approach for generating machining process based on machining knowledge is proposed in this paper. The core of this approach is to decompose a CAD...

In the previous chapter, we have presented the method for feature extraction of medicinal plants images of reasonably grown plants and their parts, leaves using geometrical shape and texture features. Using these features it is necessary to identify and classify the medicinal plants. In this chapter, we have presented classification of the medicinal plants through the developed features. Identi...