Vlsi Design Of A Depth Map Estimation Circuit Based On Structured Light
Algorithm
- doi: 10.1109/TVLSI.2014.2357844
-
title: VLSI Design of a Depth Map Estimation Circuit
Based on Structured Light Algorithm
- publisher: IEEE
- isbn:
- issn: 1557-9999
- rank: 3945
- access_type: LOCKED
- content_type: Journals
-
abstract: In this paper, depth map estimation circuit
design based on structured light is proposed, wherein a projection light
source and an image sensor are utilized in combination to achieve a
depth map estimation chip, an accurate, low complex circuit is presented
to measure the depth value of an object, and it is applied to 3-D
television through depth image-based rendering technology to implement a
multiview image display system. The chip that integrates image
preprocessing, object segmentation, edge detection, and depth map
quantization algorithms performs depth map estimation of objects
accurately and quickly. Besides, the effect of human visual sensing
effect is taken into consideration and the presented chip achieves a
depth map quantified according to the nonlinear depth value in
compliance with human visual system. Measurement results show that the
chip that is verified using a Taiwan Semiconductor Manufacturing Company
0.18-μm 1P6M CMOS process operates at 83.3 MHz with 19 845 gate counts
and performs real time depth map estimation.
- article_number: 6912983
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6912983
-
html_url:
https://ieeexplore.ieee.org/document/6912983/
-
abstract_url:
https://ieeexplore.ieee.org/document/6912983/
-
publication_title: IEEE Transactions on Very Large
Scale Integration (VLSI) Systems
- conference_location:
- conference_dates:
- publication_number: 92
- is_number: 7274516
- publication_year: 2015
- publication_date: Oct. 2015
- start_page: 2281
- end_page: 2294
- citing_paper_count: 3
- citing_patent_count: 0
- download_count: 573
- insert_date: 20140929
-
index_terms:
-
ieee_terms:
- Image edge detection
- Estimation
- Shape
- Maintenance engineering
- Noise
- Image color analysis
- Very large scale integration
-
author_terms:
- 3-D television (3-DTV)
- depth map estimation
- structured light
- 3-D television (3-DTV)
- depth map estimation
- structured light
-
dynamic_index_terms:
- Depth Map
- Function Of Depth
- Structured Illumination
- Structured Light
- Estimated Depth Map
- Image Sensor
- Camera Sensor
- Edge Detection
- Depth Values
- Object Segmentation
- Human Visual System
- Edge Detection Algorithm
- End Point
- Real-valued
- Point Values
- Architectural Design
- Human Vision
- Human Visual Perception
- Hardware Implementation
- Gradient Values
- Edge Information
- Gradient Calculation
- Gradient Computation
- Hardware Architecture
- Static Random Access Memory
- Virtual Line
- Vertical Scans
- Gaussian Low-pass Filter
- Non-zero Pixels
- NOR Gate
- Pixel Depth
- Depth Of Each Pixel
- Sobel Operator
- Sobel Filter
- 3D Display
- Three-dimensional Display
- 3D Monitor
- 3D Screen
-
authors:
-
Author Name: Yu-Cheng Fan
Affiliation: Department of Electronic Engineering,
National Taipei University of Technology, Taipei, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37281246500
ID: 37281246500
Order: 1
Author Affiliations:
-
Department of Electronic Engineering, National Taipei University
of Technology, Taipei, Taiwan
-
Author Name: Pin-Kang Huang
Affiliation: Department of Electronic Engineering,
National Taipei University of Technology, Taipei, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/38252130000
ID: 38252130000
Order: 2
Author Affiliations:
-
Department of Electronic Engineering, National Taipei University
of Technology, Taipei, Taiwan
-
Author Name: Hung-Kuan Liu
Affiliation: Department of Electronic Engineering,
National Taipei University of Technology, Taipei, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37085347650
ID: 37085347650
Order: 3
Author Affiliations:
-
Department of Electronic Engineering, National Taipei University
of Technology, Taipei, Taiwan
Image Sensor
- sensor_type: CMOS
- resolution: 5184x3456
- dynamic_range: Not specified
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
- frame_rate: 30 fps
- power_consumption: 104.5 mW
Applications & Benefits
-
cell_imaging: Used for depth map estimation in 3-D TV
systems.
-
benefits: Enables accurate and quick depth measurement
of objects.
Supporting Organizations
- supported_by: National Science Council of Taiwan
Manuscript Details
- publication_date: Oct. 2015
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- pixel_size
- quantum_efficiency
- dark_current
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- focal_length
- aperture
- noise
- field_of_view
- distortion
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