'Object localization' presentation slideshows

Efficient Image Scene Analysis and Applications

Efficient Image Scene Analysis and Applications. Ming-Ming Cheng Torr Vision Group, Oxford University. CUED Computer Vision Research Seminars, University of Cambridge. Contents. Salient object detection and segmentation. Objectness Estimation. Verbal guided image parsing.

563 views • 47 slides

Combining efficient object localization and image classi?cation

392 views • 31 slides

Combining efficient object localization and image classi?cation

447 views • 31 slides

Combining efficient object localization and image classi?cation

320 views • 31 slides

Object Localization by Efficient Subwindow Search

Object Localization by Efficient Subwindow Search. JOJO 2010.12.9. Outline. Background Paper Research background Sliding Window Approach Efficient Subwindow Search (ESS) Branch-and-Bound Search Application Experiment (Car Detection) Data & Algorithm Experiment design Conclusion.

287 views • 25 slides

Evaluation of Feedback Mechanisms for Wearable Visual Aids

Evaluation of Feedback Mechanisms for Wearable Visual Aids. Aminat Adebiyi, Nii Mante , Carey Zhang, Furkhan E. Sahin , Gerard G. Medioni Ph.D., Armand R. Tanguay Jr. Ph.D. & James D. Weiland Ph.D. University of Southern California 7.15.13. Outline. Introduction

430 views • 23 slides

Beyond bags of features: Adding spatial information

Beyond bags of features: Adding spatial information. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. Adding spatial information. Computing bags of features on sub-windows of the whole image Using codebooks to vote for object position Generative part-based models.

299 views • 20 slides

A Performance Characterization Algorithm for Symbol Localization

A Performance Characterization Algorithm for Symbol Localization. Mathieu Delalandre 1,2 , Jean-Yves Ramel 2 , Ernest Valveny 1 and Muhammad Muzzamil Luqman 1,2 1 CVC, Barcelona city, Spain 2 LI Laboratory, Tours city, France LaBRI - Partnerships Meeting Bordeaux, France

255 views • 17 slides

Context-based vision system for place and object recognition

Context-based vision system for place and object recognition. Torralba, Murphy, Freeman & Rubin (2003). Context is useful for object recognition. Local and global image representations. Local representation (L) Wavelet decomposition N = 24 (6 orientations, 4 scales) Global representation

201 views • 10 slides

Summary

Recognizing and Learning Object categories. Summary. Summary. Methods reviewed here Bag of words Parts and structure Discriminative methods Combined Segmentation and recognition Resources online Slides Code Links to datasets. http://people.csail.mit.edu/torralba/iccv2005/.

223 views • 10 slides

Pointing Based Object Localization

Pointing Based Object Localization. CS223b Final Project Stanford University Bio-Robotics Lab Paul Nangeroni & Ashley Wellman March 17, 2008. ( Motivation ). Present robotic object detection relies on dense stereo mapping of 3D environments

77 views • 7 slides