IP Library Granted Patent US 8,385,655
Granted Patent B2
US 8,385,655 · App. 12/653,857 · Granted Feb 26, 2013

Method and system for generating intrinsic images using single reflectance technique

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 8,385,655
App. No.
12/653,857
Granted
Feb 26, 2013
Kind
B2
Abstract

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

Claims (10)

1. An automated, computerized method for processing an image, comprising the steps of:

providing an image file depicting an image, in a computer memory;

identifying a dominant region of single reflectance in the image wherein the step of identifying a dominant region of single reflectance in the image is carried out by performing a pixel stability analysis, and segregating the image into intrinsic images as a function of the dominant region of single reflectance.

2. The method of claim 1 wherein the pixel stability analysis is carried out by implementing a technique selected from a group including a second derivative energy analysis, a directional second derivative energy analysis, an analysis based upon application of an edge preserving blurring filter, and a local variance analysis.

3. An automated, computerized method for processing an image, comprising the steps of:

providing an image file depicting an image, in a computer memory;

identifying a dominant region of single reflectance in the image, and segregating the image into intrinsic images as a function of the dominant region of single reflectance wherein the step of segregating the image into intrinsic images as a function of the dominant region of single reflectance is carried out by performing a constraint/solver model, and wherein the constraint/solver model is based upon a tokenization of the image file.

4. A computer program product, disposed on a non-transitory computer readable media, the product including computer executable process steps operable to control a computer to: provide an image file depicting an image, in a computer memory, identify a dominant region of single reflectance in the image and segregate the image into intrinsic images as a function of the dominant region of single reflectance wherein the process step to segregate the image into intrinsic images as a function of the dominant region of single reflectance is carried out by performing a constraint/solver model and wherein the constraint/solver model is based upon a tokenization of the image file.

5. A computer program product, disposed on a non-transitory computer readable media, the product including computer executable process steps operable to control a computer to: provide an image file depicting an image, in a computer memory, identify a dominant region of single reflectance in the image wherein the process step to identify a dominant region of single reflectance in the image is carried out by performing a pixel stability analysis and segregate the image into intrinsic images as a function of the dominant region of single reflectance.

6. The computer program product of claim 5 wherein the pixel stability analysis is carried out by implementing a technique selected from a group including a second derivative energy analysis, a directional second derivative energy analysis, an analysis based upon application of an edge preserving blurring filter, and a local variance analysis.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 7, 2022
From: TANDENT COMPUTER VISION LLC
To: INNOVATION ASSET COLLECTIVE
Reel/Frame 061387/0149 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 3, 2019
From: TANDENT VISION SCIENCE, INC.
To: TANDENT COMPUTER VISION LLC
Reel/Frame 049080/0636 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 25, 2010
From: SMITH, CASEY ARTHUR; YOON, YOUNGROCK
To: TANDENT VISION SCIENCE, INC.
Reel/Frame 023994/0834 →