'Depth image' presentation slideshows

Depth Cameras

1.1k views • 65 slides

Image-Based Rendering to Accelerate Interactive Walkthroughs

Lucent Technologies. Bell Labs Innovations. Image-Based Rendering to Accelerate Interactive Walkthroughs. Daniel G. Aliaga Visual Communications Research Lucent Technologies Bell Labs <aliaga@bell-labs.com>. 3D Models. 2.0M tris. 1.7M tris. 1.0M tris. 0.9M tris. Why Use Images?.

739 views • 62 slides

Indoor Scene Segmentation using a Structured Light Sensor

Indoor Scene Segmentation using a Structured Light Sensor. ICCV 2011 Workshop on 3D Representation and Recognition. Nathan Silberman and Rob Fergus. Courant Institute. Overview. Indoor Scene Recognition using the Kinect Introduce new Indoor Scene Depth Dataset Describe CRF-based model

489 views • 48 slides

3D Object Representations (GATE-540)

544 views • 33 slides

Matching results comparison between the Gixel Array Descriptor (GAD) & SIFT / SURF / BRIEF / ORB

Matching results comparison between the Gixel Array Descriptor (GAD) & SIFT / SURF / BRIEF / ORB. Test 1 - aerial images to 3D wireframes. Original image pairs. Test 1 - aerial images to 3D wireframes. SIFT SURF. BRIEF ORB.

563 views • 27 slides

Matching results comparison between the Gixel Array Descriptor (GAD) & SIFT / SURF / BRIEF / ORB

Matching results comparison between the Gixel Array Descriptor (GAD) & SIFT / SURF / BRIEF / ORB. Test 1 - aerial images to 3D wireframes. Original image pairs. Test 1 - aerial images to 3D wireframes. SIFT SURF. BRIEF ORB.

543 views • 27 slides

Kinect Development

Kinect Development. By: Richard Isely III. Outline. What is the Kinect History How it started Microsoft Project The Components of the Kinect What they are/How they work Development Issues Solution Hacking the Kinect OpenKinect Microsoft SDK Demo. What is the Kinect?.

500 views • 25 slides

Vladimir Veevnik Alexander Sorokoletov

377 views • 23 slides

Second-Order Feed-Forward Rendering for Specular and Glossy Reflections

Second-Order Feed-Forward Rendering for Specular and Glossy Reflections. Lili Wang 1 , Naiwen Xie 1 , Wei Ke 2 ,Voicu Popescu 3. 1 State Key Laboratory of Virtual Reality Technology and Systems, Beihang University. 2 Macao Polytechnic Institute, Macau. 3 Purdue University, West Lafayette.

224 views • 21 slides

3D Video Generation and Service Based on a TOF Depth Sensor in MPEG-4 Multimedia Framework

3D Video Generation and Service Based on a TOF Depth Sensor in MPEG-4 Multimedia Framework. IEEE Consumer Electronics Sung- Yeol Kim Ji -Ho Cho Andres Koschan Mongi A. Abidi. Outline. Introduction Video-Plus-Depth Generation System Architecture Experimental Result Conclusion.

308 views • 18 slides

Jui-Chiu Chiang, Zheng-Feng Liu , and Wen-Nung Lie National Chung Cheng University Taiwan

ICPR/WDIA-2012. High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image. Jui-Chiu Chiang, Zheng-Feng Liu , and Wen-Nung Lie National Chung Cheng University Taiwan. Outline. Introduction Our hybrid camera system

298 views • 17 slides

Jui-Chiu Chiang, Zheng-Feng Liu , and Wen-Nung Lie National Chung Cheng University Taiwan

ICPR/WDIA-2012. High Quality Novel View Synthesis Based on Low Resolution Depth Image and High Resolution Color Image. Jui-Chiu Chiang, Zheng-Feng Liu , and Wen-Nung Lie National Chung Cheng University Taiwan. Outline. Introduction Our hybrid camera system

174 views • 17 slides

Using the Kinect in Processing

261 views • 16 slides

Gazihan Alankus gazihan@cse.wustl

Gazihan Alankus gazihan@cse.wustl.edu. Vision-Realistic Rendering: Simulation of the Scanned Foveal Image from Wavefront Data of Human Subjects, Brian A. Barsky, 2004. Introduction. A new concept: vision-realistic rendering Rendering scenes as someone really sees them

267 views • 15 slides

Kinect Introduce

Kinect Introduce. 2012 Seung Heon Kang. Kinect Introduce. Motion sensing device Natural user interface using gestures and spoken commands. History. Technical invented by Zeev Zalevsky, Alexander Shpunt, Aviad Maizels and Javier Garcia (2005) Project Natal (June 1, 2009)

272 views • 14 slides

Kinect SDK Crash Course

Kinect SDK Crash Course. (In 12 slides or less) Elliot Babchick. What Do You Get?. Important!. Kinect shines brightest when you use it in a wide, open space. Specifically, 0.8 - 4 meters is the supported range. The sweet spot is in the middle (~2.5 m).

249 views • 12 slides

Kinect SDK Crash Course

Kinect SDK Crash Course. (In 12 slides or less) Elliot Babchick. What Do You Get?. Important!. Kinect shines brightest when you use it in a wide, open space. Specifically, 0.8 - 4 meters is the supported range. The sweet spot is in the middle (~2.5 m).

128 views • 12 slides

Input RGB Image

3D Context Model. Input RGB Image. Input Depth Image. Result. Rendering from Different Views. A Linear Approach to Matching Cuboids in RGBD Images. Jiang and Xiao, CVPR 2013. Candidate Proposals. Context Model: Mixed IP. Unary Cost. Intersection. Number. Coverage. Occlusion.

156 views • 7 slides

Study on Determining Scoliosis Using Depth Image

Study on Determining Scoliosis Using Depth Image Kyeong-Ri Ko 1 , Jin Won Lee 2 , Seung-Hoon Chae 3 and Sung Bum Pan 2,* 1 Dept. of Control and Instrumentation Engineering, Chosun Univ., 375, Seosuk-dong, Dong-gu, Gwangju, 501-759, Korea

65 views • 6 slides

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset. Kevin Lai 1 Liefeng Bo 1 Xiaofeng Ren 2 Dieter Fox 1,2 1 University of Washington, Seattle WA 2 Intel Labs Seattle, Seattle WA. Summary

293 views • 1 slides