For many fundamental problems of computer vision, adopting a graph-based framwork can be straight-forward and very effective. In this thesis, I propose several graph-based inference methods tailored for different computer vision applications. It starts from studying contour-based object detection methods. Compared to other image cues, the outline contour (silhouette) is invariant to lighting co...

www.medigraphic.org.mx * Master in Sciences, Specialist in Gynecology and Obstetrics, recertifi ed by the Mexican Board of Gynecology and Obstetrics, Professor of Genital Tract and Anal-Perineal Complex Pathology (UNAM) (CONADICO), Medical Director of the Satelite Hospital and Surgical Center. § Student, Nursing School, Mexico ́s Technological University (UNITEC). II Specialist in Gynecology and...

We present the results of a study to exploit a multiple colour space model (CSM ) and variable kernels for object tracking in video sequences. The basis of our work is the mean shift algorithm; for a moving target, we develop a procedure to adaptively change the CSM throughout a video sequence. The optional CSM components are ranked using a similarity distance within an inner (representing the ...

www.medigraphic.org.mx * Master in Sciences, Specialist in Gynecology and Obstetrics, recertiル ed by the Mexican Board of Gynecology and Obstetrics, Professor of Genital Tract and Anal-Perineal Complex Pathology (UNAM) (CONADICO), Medical Director of the Satelite Hospital and Surgical Center. § Student, Nursing School, Mexico ́s Technological University (UNITEC). II Specialist in Gynecology and ...

This paper proposes a method for detecting shapes of variable structure in images with clutter. The term “variable structure” means that some shape parts can be repeated an arbitrary number of times, some parts can be optional, and some parts can have several alternative appearances. The particular variation of the shape structure that occurs in a given image is not known a priori. Existing com...

We propose a fast edge-based approach for detection and approximate pose estimation of multiple textureless objects in a single image. The objects are trained from a set of edge maps, each showing one object in one pose. To each scanning window in the input image, the nearest neighbor is found among these training templates by a twolevel cascade. The first cascade level, based on a novel edge-b...

This paper presents a workpiece discretization method to apply existing cutting force models predict the forces generated during low material removal rate robotic machining operations of features with arbitrary geometry. Two along straight edge which are modelled using this feature shown, chamfer pass on sharp corner and trapezoidal cross section. The measured high-resolution laser profile scan...

The traditional anchoring mechanism of the traction robot is rigid, which easy to be stuck in wellbore. In order solve problem produced by rigid robot, a novel was proposed based on spring type inclined block. key make motion whether can anchored wellbore under action force. Therefore, rigid-hyperelastic coupling dynamic model force established. On basis, effects span, width, thickness and cham...

Abstract 3D point set reconstruction is an important and challenging shape analysis task. Current state-of-the-art algorithms for employ a deep neural network (DNN) having encoder–decoder architecture. Recently, the decoder DNNs that transform multiple 2D planar patches to reconstruct have seen some success. These “patch-folding” decoders are adept at approximating smooth surfaces in objects. H...