We implement lane detection using edge detection, Hough transforms, and vanishing point filtering in Hough space; the car detection is implemented by using histogram of oriented gradients feature descriptors and classified by linear support vector machines. Hard-negative mining is applied to alleviate detection of false positives; with the information of vanishing point along with prior knowled...

Three dimensional imaging is a common technique used in computer vision and radar imaging. The main challenges in 3D imaging is the noise content of the input image and degraded quality of the reconstructed image. In this paper a novel technique is introduced to get efficient conversion of 2D images to 3D. In the this technique after the standardization, the image it is filtered to reduce the n...

The Hough transform is a standard technique for nding features such as lines in images. Typically, points or edgels are mapped into a partitioned parameter or Hough space as individual votes where peaks denote the feature of interest. The standard mapping used for line detection is the RR mapping and the key property the Hough transform exploits is that lines in the image map to points in Hough...

In this article we propose an algorithmic approach – the detection and the characterization of planar fractures based on the analysis of 3D data relative to rock samples (coming from X-ray=NMR tomography). Data analysis is based on a particular implementation of the Hough Transform for the detection of planes in a 3D space. One of the original aspects of our approach is the pattern detection st...

Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city. Once the 3D Lidar data are available, the next task is the automatic data processing, with major aim to construct 3D building models. Among the numerous automatic reconstruction methods, the techniques allowing the detection of 3D building roof planes are of crucial...

In this paper, the reassigned local polynomial periodogram along the frequency direction (RfLPP) is shown to be able to perfectly localize the chirp signal. Due to this property, the RfLPP is combined with the Hough transform for chirp signal detection in the parameter domain. Simulations of the RfLPP-Hough transform are given for chirp signal detection in white Gaussian noise and impulsive noi...

www.ecsi.org/dasip Nowadays, 3D vision is a common tool that is now available in the consumer electronics and many current and future applications require high speed estimation of the object depths of acquired image scenes. High speed acquisition and image processing are challenging tasks that are the heart of this session. According to the process and acquisition requirement, the best hardware...

Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition techniques such as Structure-from-Motion or LIDAR scanning are noisy, clutter and holes. In that case global shape features—still dominating the 3D shape class recognition literature—are less appropriate. Inspired by 2D m...

Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition techniques such as Structure-from-Motion or LIDAR scanning are noisy, clutter and holes. In that case global shape features—still dominating the 3D shape class recognition literature—are less appropriate. Inspired by 2D m...