In this document, we present methods to camera pose estimation from one single images in a known environment. The framework of such methods comprises two stages, a learning step and an inference stage where given a new image we recover the exact camera position. This research work focus on achieving such a task with the help of lines and the Radon/Hough transform. The question to be answered in...

Planning collision-free trajectories under real-time restrictions is a challenging topic in robotics. In order to reduce computational cost in the collision avoidance process, some authors have proposed different model representations. This article presents an optimal method able to generate automatically geometric models of the objects in a robotic system. For each object, two models are obtai...

In this paper we present a system for the reconstruction of 3D models of architectural scenes from single or multiple uncalibrated images. The partial 3D model of a building is recovered from a single image using geometric constraints such as parallelism and orthogonality, which are likely to be found in most architectural scenes. The approximate corner positions of a building are selected inte...

We address the problem of 3D object recognition from a single 2D image using a model database. We develop a new method called enhanced geometric hashing. This approach allows us to solve for the indexing and the matching problem in one pass with linear complexity. Use of quasi-invariants allows us to index images in a new type of geometric hashing table. They include topological information of ...

Recently reversible data hiding (RDH) is getting more and more attention in encrypted images, as it maintains the excellent property that the original image cover can be losslessly recovered after the embedded data is extracted while image and data are protected and are confidential.This paper presents a method for reversible data hiding using circular hough transformation(CHT). CHT detects the...

Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in computer science for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR using Hough Transform ,DCD and DWT feature with Support vector machine (SVM) as a classifier. In the process of feature extr...

In this paper, we introduce a new method for elliptical object identification. The proposed method adopts a hybrid scheme which consists of Eigen values of covariance matrices, Circular Hough transform and Bresenham’s raster scan algorithms. In this approach we use the fact that the large Eigen values and small Eigen values of covariance matrices are associated with the major and minor axial le...