'Bounding boxes' presentation slideshows

Detekcija trkov

Detekcija trkov. Pomen detekcije trkov. Especially important in Interactive Virtual Environments . No matter how good the VE look, the poor realism resulting from a lack of collision detection. However, there may be hundreds, even thousands of objects in the virtual world.

1.74k views • 159 slides

Foundations of Computer Graphics (Fall 2012)

821 views • 69 slides

Programme

Programme. 2pm Introduction Andrew Zisserman, Chris Williams 2.10pm Overview of the challenge and results Mark Everingham (Oxford) 2.40pm Session 1: The Classification Task Frederic Jurie presenting work by Jianguo Zhang (INRIA) 20 mins Frederic Jurie (INRIA) 20 mins

649 views • 51 slides

Week 8 : Web-Assisted Object Detection

Week 8 : Web-Assisted Object Detection. Alejandro Torroella & Amir R. zamir. Geometry Method procedure. For each query image we manually set orientation, angle of view, range of view, and location of camera. : Camera location. : Object locations. : Field of vision.

577 views • 51 slides

Cross-layer Optimized Placement and Routing for FPGA Soft Error Mitigation

Cross-layer Optimized Placement and Routing for FPGA Soft Error Mitigation. Keheng Huang 1,2 , Yu Hu 1 , and Xiaowei Li 1 1 Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences 2 Graduate University of Chinese Academy of Sciences.

649 views • 49 slides

Motion in 2D image sequences

Motion in 2D image sequences. Definitely used in human vision Object detection and tracking Navigation and obstacle avoidance Analysis of actions or activities Segmentation and understanding of video sequences. Frame from an ARDA Sample Video. Change detection for surveillance.

529 views • 41 slides

CS425 Lecture 10

493 views • 41 slides

Segmentation Propagation in ImageNet

Segmentation Propagation in ImageNet. ECCV 2012, Florence, Italy October 11 th , 2012 Daniel Kuettel, Matthieu Guillaumin , Vittorio Ferrari ETH Zurich University of Edinburgh. Goal: s egment every image in ImageNet.

485 views • 37 slides

Proactive Re-optimization

Proactive Re-optimization. Joint work with Shivnath Babu and David DeWitt. Pedro Bizarro. What is the Problem?. Sometimes database query optimizers choose execution plans that are sub-optimal by orders of magnitude. How the Problem Arises (1). Statistics may not be up-to-date

492 views • 37 slides

Advanced Graphics

478 views • 32 slides

Managing Your Objects

Managing Your Objects. Paul Taylor 2009 Assignment Due Fri 5/6/2009. What is an Object. A Bunch of Polygons (or one), or a Sprite Each Object can have: A Translation A Rotation A Scale A Shear (not super common). Our Test Objects. A Sweet Car!. The Simplest Representation.

391 views • 31 slides

Spatial and Geographic Databases

Spatial and Geographic Databases. Spatial databases store information related to spatial locations, and support efficient storage, indexing and querying of spatial data. Special purpose index structures are important for accessing spatial data, and for processing spatial join queries.

470 views • 23 slides

Proactive Re-Optimization

346 views • 23 slides

Block-level 3D IC Design with Through-Silicon-Via Planning

Block-level 3D IC Design with Through-Silicon-Via Planning. Dae Hyun Kim, Rasit Onur Topaloglu , and Sung Kyu Lim Department of Electrical and Computer Engineering, Georgia Institute of Technology, GLOBALFOUNDRIES. ASP-DAC 2012. INTRODUCTION 3D WIRELENGTH METRICS

327 views • 20 slides

Timewarp Rigid Body Simulation

315 views • 18 slides

Orthographic Projection

1.03k views • 17 slides

Applied Spatial Hash Function in Ray Tracing

Applied Spatial Hash Function in Ray Tracing. By : Jaruwan Mesit. Optimized ray tracing. In class, we have learned two methods Bounding Volume Hierarchy Grid New method Spatial Hash function (My project). Bounding Volume Hierarchy. Sort all objects in the scene

276 views • 17 slides

Information Theoretic Measures: Object Segmentation and Tracking

300 views • 16 slides

Face Swapping

918 views • 10 slides

DetectorPLS version 0.1.1

DetectorPLS version 0.1.1. ( project webpage ). Author: William Robson Schwartz ( schwartz@cs.umd.edu ). Capabilities. Perform object detection (studied for humans and faces). Learn new PLS models for classes of objects. Good for: Objects that could have templates designed for. Bad for:

164 views • 9 slides