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Kartik Priti Venkataraman

age ~60

from San Jose, CA

Also known as:
  • Kartik Pritti Venkataraman
  • Kartik Te Venkataraman
  • Katik Venkataraman
  • Krishnan Venkataraman
  • Kartik Venkatarman
  • Kartik N
Phone and address:
1736 Indigo Oak Ct, San Jose, CA 95121
(408)2231878

Kartik Venkataraman Phones & Addresses

  • 1736 Indigo Oak Ct, San Jose, CA 95121 • (408)2231878 • (408)2742057 • (408)5319110
  • 5358 Laurel Canyon Dr, San Jose, CA 95138 • (408)8917384
  • 1485 Lakeshore Cir, San Jose, CA 95131 • (408)4520178
  • Santa Clara, CA
  • Pleasanton, CA
  • Amherst, MA
  • Baltimore, MD
  • 1736 Indigo Oak Ln, San Jose, CA 95121 • (408)8917384

Work

  • Company:
    Stay tuned
    Apr 2019
  • Position:
    Chief executive officer and chief technology officer

Education

  • Degree:
    Master of Science, Masters
  • School / High School:
    University of Massachusetts Amherst
  • Specialities:
    Computer Engineering

Skills

Algorithms • Image Processing • R&D • Digital Imaging • Sensors • Signal Processing • Digital Signal Processors • C • C++ • Matlab • Computer Vision • Embedded Software • Electrical Engineering • Technology Strategy and Planning • Simulations • Asic • Arm • Machine Learning

Languages

English

Ranks

  • Certificate:
    Machine Learning

Emails

Industries

Computer Software

Resumes

Kartik Venkataraman Photo 1

Chief Executive Officer And Chief Technology Officer

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Location:
5358 Laurel Canyon Dr, San Jose, CA 95138
Industry:
Computer Software
Work:
Stay Tuned
Chief Executive Officer and Chief Technology Officer

Solstice Imaging Machine Learning Applications In Computational Vision and Perception
Consultant

Fotonation Xperi Nov 2016 - May 2018
Senior Director, Advanced Technology and Research

Pelican Imaging Mar 2008 - Nov 2016
Founder and Chief Technology Officer

Micron Imaging 1999 - 2008
Senior Manager
Education:
University of Massachusetts Amherst
Master of Science, Masters, Computer Engineering
Indian Institute of Technology, Kharagpur
Bachelors, Electrical Engineering
University of California, Santa Cruz
Doctorates, Doctor of Philosophy, Computer Science, Computer Graphics
Skills:
Algorithms
Image Processing
R&D
Digital Imaging
Sensors
Signal Processing
Digital Signal Processors
C
C++
Matlab
Computer Vision
Embedded Software
Electrical Engineering
Technology Strategy and Planning
Simulations
Asic
Arm
Machine Learning
Languages:
English
Certifications:
Machine Learning
Robotics: Perception
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Us Patents

  • Color Filter Imaging Array And Method Of Formation

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  • US Patent:
    6783900, Aug 31, 2004
  • Filed:
    May 13, 2002
  • Appl. No.:
    10/142961
  • Inventors:
    Kartik Venkataraman - San Jose CA
  • Assignee:
    Micron Technology, Inc. - Boise ID
  • International Classification:
    G02B 520
  • US Classification:
    430 7, 348 71, 348 77, 348280, 257440, 600109, 359891
  • Abstract:
    A color filter array pattern for use in a solid-state imager comprising red sensitive elements located at every other array position, with alternating blue sensitive and green sensitive elements located at the remaining array positions, is disclosed. Since red color is sampled most frequently, the color filter may be part of an in vivo camera system for imaging internal human body organs and tissues.
  • Architecture For Real-Time Texture Look Up's For Volume Rendering

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  • US Patent:
    6876361, Apr 5, 2005
  • Filed:
    Mar 15, 2001
  • Appl. No.:
    09/810654
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
  • Assignee:
    Micron Technology, Inc. - Boise ID
  • International Classification:
    G06T017/00
  • US Classification:
    345424, 345582
  • Abstract:
    A slice plane, oriented parallel to a viewing plane, is passed through a cuboidal dataset at regular intervals. The intersection of the slice plane with the cuboidal volume dataset results in primitives (quads, triangles, etc. depending on the angle and position of the intersection) whose vertices have position coordinates (x, y, z) and 3D-texture coordinates (r, s, t). The resulting primitives are rasterized using, for example, a traditional 3D graphics pipeline wherein the 3D-texture coordinates are interpolated across the scanlines producing 3D-texture coordinates for each fragment. The resulting 3D-texture coordinates for each fragment are stored in a 2D-texture storage area. These 2D-textures are called density-textures. By preprocessing the cuboidal dataset, the rendering process becomes a compositing process. A rendering process is comprised of looking-up, for each densel in the texture, the corresponding color and opacity values in the current lookup-table.
  • Architecture For Real-Time Texture Look-Up's For Volume Rendering

    view source
  • US Patent:
    7245300, Jul 17, 2007
  • Filed:
    Feb 10, 2005
  • Appl. No.:
    10/906242
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
  • Assignee:
    Micron Technology, Inc. - Boise ID
  • International Classification:
    G06T 17/00
  • US Classification:
    345424, 345428, 345581, 345582, 345583, 345589, 345600, 345601, 345602, 345606, 345608
  • Abstract:
    A slice plane, oriented parallel to a viewing plane, is passed through a cuboidal dataset at regular intervals. The intersection of the slice plane with the cuboidal volume dataset results in primitives (quads, triangles, etc. depending on the angle and position of the intersection) whose vertices have position coordinates (x, y, z) and 3D-texture coordinates (r, s, t). The resulting primitives are rasterized using, for example, a traditional 3D graphics pipeline wherein the 3D-texture coordinates are interpolated across the scanlines producing 3D-texture coordinates for each fragment. The resulting 3D-texture coordinates for each fragment are stored in a 2D-texture storage area. These 2D-textures are called density-textures. By preprocessing the cuboidal dataset, the rendering process becomes a compositing process. A rendering process is comprised of looking-up, for each densel in the texture, the corresponding color and opacity values in the current lookup-table.
  • Compression System For Integrated Sensor Devices

    view source
  • US Patent:
    7373005, May 13, 2008
  • Filed:
    Apr 10, 2003
  • Appl. No.:
    10/410192
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
  • Assignee:
    Micron Technology, Inc. - Boise ID
  • International Classification:
    G06K 9/36
    G06K 9/46
    G06K 9/48
  • US Classification:
    382239, 382238, 382244, 382247
  • Abstract:
    An imaging system incorporating adaptive compression which includes determining linear predictive differential residuals from an imager array pixel row. The differential residuals are classified into categories, each category having a range of differential residuals associated with it. The categories are analyzed to produce an ordered list having categories with most to least frequent residuals falling within a respective residual range associated with a respective category. The ordered list is then used to select a variable length encoding table with a matching ordered list. Variable length encoded category and range position offset data is output to a serializer unit, where the range position offset refers to a position in a range associated with a particular category.
  • Color Filter Imaging Array And Method Of Formation

    view source
  • US Patent:
    7708686, May 4, 2010
  • Filed:
    Jun 8, 2004
  • Appl. No.:
    10/862408
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
  • Assignee:
    Aptina Imaging Corporation - Grand Cayman
  • International Classification:
    A61B 1/04
    H04N 9/083
  • US Classification:
    600109, 600921, 348 71, 348273, 348277
  • Abstract:
    A color filter array pattern for use in a solid-state imager comprising red sensitive elements located at every other array position, with alternating blue sensitive and green sensitive elements located at the remaining array positions, is disclosed. Since red color is sampled most frequently, the color filter may be part of an in vivo camera system for imaging internal human body organs and tissues.
  • Compression System For Integrated Sensor Devices

    view source
  • US Patent:
    7751634, Jul 6, 2010
  • Filed:
    Jan 31, 2007
  • Appl. No.:
    11/700090
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
  • Assignee:
    Micron Technology, Inc. - Boise ID
  • International Classification:
    G06K 9/46
  • US Classification:
    382239, 382244, 382245, 382246
  • Abstract:
    An imaging system incorporating adaptive compression which includes determining linear predictive differential residuals from an imager array pixel row. The differential residuals are classified into categories, each category having a range of differential residuals associated with it. The categories are analyzed to produce an ordered list having categories with most to least frequent residuals falling within a respective residual range associated with a respective category. The ordered list is then used to select a variable length encoding table with a matching ordered list. Variable length encoded category and range position offset data is output to a serializer unit, where the range position offset refers to a position in a range associated with a particular category.
  • Method And Apparatus For Extended Depth-Of-Field Image Restoration

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  • US Patent:
    8131097, Mar 6, 2012
  • Filed:
    May 28, 2008
  • Appl. No.:
    12/128234
  • Inventors:
    Dan Lelescu - Morgan Hill CA, US
    Robert Mullis - Soquel CA, US
    Pravin Rao - San Jose CA, US
    Kartik Venkataraman - San Jose CA, US
    Cheng Lu - Santa Clara CA, US
    Junqing Chen - San Jose CA, US
  • Assignee:
    Aptina Imaging Corporation - George Town
  • International Classification:
    G06K 9/40
  • US Classification:
    382254
  • Abstract:
    A method and apparatus are disclosed for restoring an image captured through an extended depth-of-field lens. Preprocessed data relating to image degradation is stored and used during an image restoration process.
  • Systems And Methods For Parallax Detection And Correction In Images Captured Using Array Cameras That Contain Occlusions Using Subsets Of Images To Perform Depth Estimation

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  • US Patent:
    8619082, Dec 31, 2013
  • Filed:
    Aug 21, 2013
  • Appl. No.:
    13/972881
  • Inventors:
    Kartik Venkataraman - San Jose CA, US
    Gabriel Molina - Palo Alto CA, US
    Dan Lelescu - Morgan Hill CA, US
  • Assignee:
    Pelican Imaging Corporation - Mountain View CA
  • International Classification:
    G06T 15/10
    G06K 9/00
  • US Classification:
    345427, 382154
  • Abstract:
    Systems in accordance with embodiments of the invention can perform parallax detection and correction in images captured using array cameras. Due to the different viewpoints of the cameras, parallax results in variations in the position of objects within the captured images of the scene. Methods in accordance with embodiments of the invention provide an accurate account of the pixel disparity due to parallax between the different cameras in the array, so that appropriate scene-dependent geometric shifts can be applied to the pixels of the captured images when performing super-resolution processing. In several embodiments, detecting parallax involves using competing subsets of images to estimate the depth of a pixel location in an image from a reference viewpoint. In a number of embodiments, generating depth estimates considers the similarity of pixels in multiple spectral channels. In certain embodiments, generating depth estimates involves generating a confidence map indicating the reliability of depth estimates.

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Work:
Pelican Imaging - CTO (2)
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Youtube

Sri Shankar Mahadevan @Cleveland Thyagaraja F...

The Bhakthi Margam Sankeerthana Samarpanam at His Lotus Feet Sri Shan...

  • Category:
    Music
  • Uploaded:
    26 Apr, 2011
  • Duration:
    2m 31s

indian jazz fusion "Kya Voh Hai" CBC Canada L...

Excerpt of a CBC radio 2 Canada Live recording concert session Adam Du...

  • Category:
    Music
  • Uploaded:
    23 Dec, 2008
  • Duration:
    5m 30s

indian jazz fusion "Good Timing" CBC Canada L...

Excerpt of a CBC radio 2 Canada Live recording concert session Adam Du...

  • Category:
    Music
  • Uploaded:
    23 Dec, 2008
  • Duration:
    2m 16s

Ashwin Iyer and Rohin Iyer - Carnatic Perform...

Toronto Brothers Ashwin Iyer and Rohin Iyer (Carnatic vocal), disciple...

  • Category:
    Music
  • Uploaded:
    01 Nov, 2006
  • Duration:
    10m 3s

Sri Shankar Mahadevan(Vocal)

Sri Jay Shankar Balan of MI (violin) Sri Vinod Seetharaman of MI (mrid...

  • Category:
    Music
  • Uploaded:
    26 Apr, 2011
  • Duration:
    2m 13s

indian jazz fusion "Vantage" CBC Canada Live ...

Excerpt of a CBC radio 2 Canada Live recording concert session Adam Du...

  • Category:
    Music
  • Uploaded:
    23 Dec, 2008
  • Duration:
    3m 25s

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