Lumipen 2: Dynamic Projection Mapping with Mirror-Based Robust High-Speed Tracking against Illumination Changes

2016 ◽  
Vol 25 (4) ◽  
pp. 299-321 ◽  
Author(s):  
Tomohiro Sueishi ◽  
Hiromasa Oku ◽  
Masatoshi Ishikawa
Keyword(s):  
Visual Feedback ◽  
High Speed ◽  
Moving Objects ◽  
Vision System ◽  
Visual Quality ◽  
Temporal Delay ◽  
Projection Mapping ◽  
Speed Tracking ◽  
Illumination Changes

Dynamic projection mapping (DPM) is a type of projection-based augmented reality that aligns projected content with a moving physical object. In order to be able to adjust the projection to fast motions of moving objects, DPM requires high-speed visual feedback. An option to reduce the temporal delay of adjusting the projection to imperceptible levels is to use mirror-based high-speed optical axis controllers. However, using such controllers for capturing visual feedback requires a sufficient amount of illumination of the moving object. This leads to a trade-off between tracking stability and quality of projection content. In this article, we propose a system that combines mirror-based high-speed tracking with using a retroreflective background. The proposed tracking technique observes the silhouette of the target object by episcopic illumination and is robust against illumination changes. It also maintains high-speed, accident-avoidant tracking by performing background subtraction in an active vision system and employing an adaptive windows technique. This allows us to create a DPM with an imperceptible temporal delay, high tracking stability and high visual quality. We analyze the proposed system regarding the visual quality of the retroreflective background, the tracking stability under illumination and disturbance conditions, and the visual consistency relative to delay in the presence of pose estimation. In addition, we demonstrate application scenarios for the proposed DPM system.

A Vision-Based Embedded Control System for Crystal Reorientation and Inspection

2012 ◽  
Vol 433-440 ◽  
pp. 3211-3217
Author(s):  
Sheng Q. Xie ◽  
Yun Ho Tsoi ◽  
Avilash Singh
Keyword(s):  
Control System ◽  
Distributed Control ◽  
High Speed ◽  
Complete System ◽  
Vision System ◽  
Embedded Control ◽  
Embedded Control System ◽  
Reorientation Time ◽  
Reorientation Process

This paper proposes a vision-based embedded motion control system that is developed in our research group. The system is an integration of three subsystems including, an embedded positioning platform, a vision system for inspection and a crystal reorientation system. The system is used as a positioning platform and crystal reorientation system to automate the crystal reorientation process. This process is important in ensuring that the units are correctly oriented for production processes. The focus of this research is placed on how to develop the embedded positioning platform, the crystal reorientation system, and how to improve the system performances including positioning and reorientation accuracy in high speed operation and quality of inspection. A distributed control architecture has been developed using PIC18F4520 microcontrollers. Tests run on the complete system have shown that the system is capable of a minimum indexing time of 1.53 units per second and a reorientation time of 1.42 seconds.

scholarly journals A HIGH VISUAL QUALITY SPRITE GENERATOR USING INTELLIGENT BLENDING WITHOUT SEGMENTATION MASKS

2006 ◽  
Vol 20 (08) ◽  
pp. 1139-1158 ◽  
Author(s):  
I-SHENG KUO ◽  
LING-HWEI CHEN
Keyword(s):  
Moving Objects ◽  
Automatic Segmentation ◽  
Visual Quality ◽  
Experimental Result ◽  
Feature Point Extraction ◽  
Comparison Results ◽  
Segmentation Methods ◽  
Wu Method ◽  
Better Than

The sprite generator introduced in MPEG-4 blends frames by averaging, which will make places, that are always occupied by moving objects, look blurred. Thus, providing segmented masks for moving objects is suggested. Several researchers have employed automatic segmentation methods to produce moving object masks. Based on these masks, they used a reliability-based blending strategy to generate sprites. Since perfect segmentation is impossible, some ghost-like shadows will appear in the generated sprite. To treat this problem, in this paper, an intelligent blending strategy without needing segmentation masks is proposed. It is based on the fact that for each point in the generated sprite, the corresponding pixels in most frames belong to background and only few belong to moving objects. A counting schema is provided to make only background points participate in average blending. The experimental result shows that the visual quality of the generated sprite using the proposed blending strategy is close to that using manually segmented masks and is better than that generated by Lu-Gao-Wu method. No ghostlike shadows are produced. Furthermore, a uniform feature point extraction method is proposed to increase the precision of global motion estimation, the effectiveness of this part is presented by showing the comparison results with other existing method.

High-Speed Focusing and Tracking of Multisized Microbiological Objects

2013 ◽  
Vol 25 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Chanh-Nghiem Nguyen ◽  
◽  
Kenichi Ohara ◽  
Yasushi Mae ◽  
Tatsuo Arai
Keyword(s):  
Visual Feedback ◽  
Execution Time ◽  
Light Microscope ◽  
High Speed ◽  
Computational Cost ◽  
Intensity Variation ◽  
Pd Controller ◽  
Speed Tracking ◽  
Autofocus Algorithms ◽  
Novel Algorithm

This paper proposes a novel algorithm for high-speed autofocusing and tracking of multisized microbiological objects observed under a transmitted light microscope. Unlike well-known autofocus algorithms found in the literature, the intensity variation of only a small defined region around the border of the microobject is analyzed in the frequency domain to determine the focused position of the object quickly. In the experiment, 20 µm3T3-SWISS cells were used as smallermicroobjects and 97 µm diameter microspheres were used to represent larger microbiological objects. The execution time and accuracy of the proposed algorithmwere assessed and better results were obtained compared to some related autofocusing algorithms. Since its computational cost was low, the algorithm facilitated highspeed autofocusing of both 3T3-SWISS cells and microspheres. The algorithm was also applied to the tracking of moving microobjects by implementing a PD controller. Since visual feedback took only about 1 ms, high-speed tracking was achieved.

Device and System Development of General Purpose Digital Vision Chip

2000 ◽  
Vol 12 (5) ◽  
pp. 515-520 ◽  
Author(s):  
Takashi Komuro ◽  
◽  
Shingo Kagami ◽  
Idaku Ishii ◽  
Masatoshi Ishikawa
Keyword(s):  
Visual Feedback ◽  
High Speed ◽  
Robot Control ◽  
System Development ◽  
Vision System ◽  
General Purpose ◽  
Cmos Process ◽  
Vision Chip ◽  
Processing Elements ◽  
Photo Detectors

We have been developing a VLSI device called vision chip in which photo detectors are integrated with paralled processing elements and that realizes high speed robot control using visual feedback. Using a 0.35μm CMOS process, we have developed a 16 × 16 prototype chip and have demonstrated some image acquiring and processing experiments. A vision system which includes the vision chip has also been constructed.

Enhancing Visual Quality of Multi-view 360 Video Compression Pipeline

2019 ◽  
pp. 135
Author(s):  
Junyoung Yun ◽  
Hong-Chang Shin ◽  
Gwangsoon Lee ◽  
Jong-Il Park
Keyword(s):  
Video Compression ◽  
Visual Quality
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