Real-time range sensing with a scheimpflug camera and a single custom sensor/processor chip

被引:0
|
作者
Çilingiroglu, U [1 ]
Çilingiroglu, E [1 ]
Chen, S [1 ]
Yarman, BS [1 ]
机构
[1] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
来源
REAL-TIME IMAGING VII | 2003年 / 5012卷
关键词
range sensing; Scheimpflug camera; focus detection; CMOS photosensor;
D O I
10.1117/12.477480
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
An image-based range sensing technique is presented. The technique is originally considered for highway collision avoidance applications but its generality makes it suitable for application in robotics, manufacturing and metrology as well. It relies on depth from focus but, unlike conventional techniques, it extracts range with a single unmodulated Scheimpflug camera in continuous time. The range extraction algorithm is memoryless and simple enough to be implemented on the same chip with photosensors. The technique deploys a sensor plane that is tilted at a non-orthogonal angle with respect to the optical axis of the lens, and the optical axis intersects the sensor plane at the focal point. This optical arrangement creates a focusable object plane in an orientation parallel to the optical axis; and thus, enables range sensing along the same axis. The paper elaborates on the details of focus sensing on the tilted sensor plane, describes the CMOS sensor/processor chip designed and prototyped for this application, and presents experimental results.
引用
收藏
页码:110 / 121
页数:12
相关论文
共 50 条
  • [41] An analog parallel array processor for real-time sensor signal processing
    Kinget, P
    Steyaert, M
    1996 IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE, DIGEST OF TECHNICAL PAPERS, 1996, 39 : 92 - 93
  • [42] Real-Time Algorithm Enabling High Dynamic Range Imaging and High Frame Rate Exploitation for Custom CMOS Image Sensor System Implemented by FPGA with Co-Processor
    Jacquot, Blake C.
    Johnson-Williams, Nathan
    REAL-TIME IMAGE AND VIDEO PROCESSING 2015, 2015, 9400
  • [43] Camera and Laser Range Finder Fusion for Real-time Car Detection
    Kurnianggoro, Laksono
    Wahyono
    Hernandez, Danilo Caceres
    Jo, Kang-Hyun
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 3419 - 3424
  • [44] Real-time facial expression transfer with single video camera
    Liu, Shuang
    Yang, Xiaosong
    Wang, Zhao
    Xiao, Zhidong
    Zhang, Jianjun
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2016, 27 (3-4) : 301 - 310
  • [45] Robust Real-Time Visual Odometry with a Single Camera and an IMU
    Kneip, Laurent
    Chli, Margarita
    Siegwart, Roland
    PROCEEDINGS OF THE BRITISH MACHINE VISION CONFERENCE 2011, 2011,
  • [46] Real-time and robust hand tracking with a single depth camera
    Ma, Ziyang
    Wu, Enhua
    VISUAL COMPUTER, 2014, 30 (10): : 1133 - 1144
  • [47] Real-time and robust hand tracking with a single depth camera
    Ziyang Ma
    Enhua Wu
    The Visual Computer, 2014, 30 : 1133 - 1144
  • [48] Toward real-time quantum imaging with a single pixel camera
    Lawrie, J.
    Pooser, R. C.
    OPTICS EXPRESS, 2013, 21 (06): : 7549 - 7559
  • [49] HARDWARE ARCHITECTURE FOR REAL-TIME LASER RANGE SENSING BY TRIANGULATION
    DALGLISH, RL
    MCGARRITY, C
    RESTREPO, J
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1994, 65 (02): : 485 - 491
  • [50] Calibration of Stereoscopic Camera Rigs Using Dedicated Real-Time SDI Video Processor
    Mielczarek, Aleksander
    Perek, Piotr
    Makowski, Dariusz
    Napieralski, Andrzej
    Sztoch, Przemyslaw
    2015 22ND INTERNATIONAL CONFERENCE MIXED DESIGN OF INTEGRATED CIRCUITS & SYSTEMS (MIXDES), 2015, : 138 - 140