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KR-102959850-B1 - Online shopping support system based on indoor color correction and consistency

KR102959850B1KR 102959850 B1KR102959850 B1KR 102959850B1KR-102959850-B1

Abstract

The present invention relates to a technology that supports the selection and purchase of interior products by accurately analyzing and correcting interior colors, wallpaper colors, etc., based on images captured in an indoor environment. In particular, it relates to a color analysis and correction system capable of correcting color distortion caused by lighting conditions and camera performance, and recommending products that harmonize with the indoor environment. In addition, the present invention belongs to the field of technology that improves customer convenience and purchasing accuracy in accordance with the increasing trends of DIY interior design and online purchasing.

Inventors

  • 전현상

Assignees

  • 주식회사 더비랩

Dates

Publication Date
20260508
Application Date
20250610
Priority Date
20250307

Claims (13)

  1. In a system that provides a service for performing product recommendations by analyzing interior colors and wallpaper colors based on indoor images captured using a customer terminal, A customer terminal that captures an indoor image according to a first condition and a second condition and transmits the captured indoor image; and An electronic device that communicates with the customer terminal, controls the customer terminal to set the first condition and the second condition, and analyzes an image received from the customer terminal; The above electronic device is: Correcting colors distorted by lighting conditions and camera performance from the above indoor image, and Analyze the actual colors of the indoor environment based on corrected colors, and Determine at least one recommended product for the customer's indoor environment based on the analyzed colors, Characterized by performing color correction based on the color temperature and brightness of the lighting to correct color distortion, The above indoor environment corresponds to the location where the customer took an indoor image using the customer terminal, and The above electronic device is: The above customer terminal obtains a first image captured under a first condition and a second image captured under a second condition, and Analyze the color of a specific area based on the first condition, the second condition, and the difference between the first image and the second image, and The above electronic device is: At least two first wall surface estimation regions are set in the first image above, and Determining the first similarity between at least two set first wall surface guessing regions, and A first process is performed to determine whether at least two first wall surface guessing regions are the same wall surface based on the determined first similarity, and In the above second image, at least two second wall surface estimation regions are set, and Determining the second similarity between at least two set second wall surface guessing regions, and A second process is performed to determine whether at least two second wall surface guessing regions are the same wall surface based on the determined second similarity, and Based on the above first process and the above second process, the actual color of the indoor environment is analyzed, and The above electronic device is: Control the customer terminal so that, while a screen corresponding to each of the RGB values (255, 0, 0), (0, 255, 0), and (0, 0, 225) is exposed, the first color, the second color, and the third color are obtained from images captured through the front camera of the customer terminal, and Controls to obtain a fourth color from an image captured through the rear camera of the above customer terminal, and By considering the first to fourth colors above, the distorted color is corrected or the color is analyzed, and The above electronic device is: Calculate a color matching index between conditions based on the first similarity and the second similarity above, and A system for analyzing the actual color of the indoor environment using a color matching index between the above conditions.
  2. In claim 1, The above first condition is set to a warm lighting environment including a color temperature in the range of 2700K to 3500K and a first brightness, and The second condition above is set as a cool lighting environment including a color temperature in the range of 5000K to 6500K and a second brightness higher than the first brightness, and The electronic device is a system that analyzes color changes in a specific area based on color temperature and brightness differences between the first condition and the second condition.
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  9. In an electronic device that performs product recommendations by analyzing interior colors and wallpaper colors based on indoor images captured using a customer terminal, Includes a processor; and memory; and The above processor is: Correcting colors distorted by lighting conditions and camera performance from the indoor image captured above, and Analyze the actual colors of the indoor environment based on corrected colors, and Determine at least one recommended product for the customer's indoor environment based on the analyzed colors, Characterized by performing color correction based on the color temperature and brightness of the lighting to correct color distortion, The above indoor environment corresponds to the location where the customer took an indoor image using the customer terminal, and The above processor is: The above customer terminal obtains a first image captured under a first condition and a second image captured under a second condition, and Analyze the color of a specific area based on the first condition, the second condition, and the difference between the first image and the second image, and The above processor is: At least two first wall surface estimation regions are set in the first image above, and Determining the first similarity between at least two set first wall surface guessing regions, and A first process is performed to determine whether at least two first wall surface guessing regions are the same wall surface based on the determined first similarity, and The above processor is: In the above second image, at least two second wall surface estimation regions are set, and Determining the second similarity between at least two set second wall surface guessing regions, and A second process is performed to determine whether at least two second wall surface guessing regions are the same wall surface based on the determined second similarity, and The above processor is, Based on the above first process and the above second process, the actual color of the indoor environment is analyzed, and The above processor is: Control the customer terminal so that a screen corresponding to each of the RGB values (255, 0, 0), (0, 255, 0), and (0, 0, 225) is displayed, and obtain a first color, a second color, and a third color from images captured through the front camera of the customer terminal, wherein the front camera is facing in the same direction as the display of the customer terminal where the screen is displayed. A fourth color is obtained from an image captured through the rear camera of the above customer terminal, and By considering the first to fourth colors above, the distorted color is corrected or the color is analyzed, and The above processor is: Calculate a color matching index between conditions based on the first similarity and the second similarity above, and An electronic device that analyzes the actual color of the indoor environment using a color matching index between the above conditions.
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  11. In a method for performing product recommendations by analyzing interior colors and wallpaper colors based on indoor images captured using a customer terminal, an electronic device A step of correcting colors distorted by lighting conditions and camera performance from captured indoor images; A step of analyzing the actual colors of the indoor environment based on corrected colors; A step of recommending products that harmonize with the customer's indoor environment based on analyzed colors; The step of the customer terminal acquiring a first image captured under a first condition and a second image captured under a second condition; and The method includes the step of analyzing the color of a specific region based on the first condition, the second condition, and the difference between the first image and the second image; The above method is: A first process of setting at least two first wall surface estimation regions in the first image, determining a first similarity between the set at least two first wall surface estimation regions, and determining whether the at least two first wall surface estimation regions are the same wall surface based on the determined first similarity; A second process of setting at least two second wall surface estimation regions in the second image, determining a second similarity between the set at least two second wall surface estimation regions, and determining whether the at least two second wall surface estimation regions are the same wall surface based on the determined second similarity; A process of analyzing the actual color of the indoor environment based on the first process and the second process above; A process of controlling the customer terminal so that a screen corresponding to each of the RGB values (255, 0, 0), (0, 255, 0), and (0, 0, 225) is displayed, and obtaining a first color, a second color, and a third color from images captured through the front camera of the customer terminal, wherein the front camera is facing in the same direction as the display of the customer terminal where the screen is displayed; A process of obtaining a fourth color from an image captured through the rear camera of the above-mentioned customer terminal; A process of correcting distorted colors or analyzing colors by considering the first to fourth colors; and A method further comprising: a process of calculating a color matching index between conditions based on the first similarity and the second similarity, and analyzing the actual color of the indoor environment using the color matching index between conditions.
  12. A computer-readable non-volatile recording medium storing a program for executing the method described in claim 11.
  13. A program recorded on a computer-readable non-volatile recording medium to execute the method described in claim 11.

Description

Online shopping support system based on indoor color correction and consistency The present invention relates to a technology that supports the selection and purchase of interior products by accurately analyzing and correcting interior colors, wallpaper colors, etc., based on images captured in an indoor environment. In particular, it relates to a color analysis and correction system capable of correcting color distortion caused by lighting conditions and camera performance, and recommending products that harmonize with the indoor environment. In addition, the present invention belongs to the field of technology that improves customer convenience and purchasing accuracy in accordance with the increasing trends of DIY interior design and online purchasing. With the recent increase in single-person households and growing interest in personalized living spaces, DIY interior design—where customers decorate their own living environments—is establishing itself as a trend. Consequently, the purchasing method for interior products is rapidly shifting from offline to online, and the proportion of customers conveniently comparing and purchasing various products through online shopping malls continues to rise. However, when purchasing products online, the color or design may not match the customer's indoor environment or may differ from expectations, acting as a major factor that lowers purchase satisfaction. In particular, indoor environmental colors and wallpaper colors play a crucial role in the selection of interior products. While consumers desire to choose products with colors that harmonize with their home interiors, the current online shopping environment makes it difficult to accurately match product images with the customer's home environment. This problem is exacerbated when colors appear distorted due to differences in shooting environments (e.g., lighting conditions) and camera performance. It is common for colors to appear brighter than they actually are under bright lighting and darker under dim lighting, making it difficult for customers to judge the accurate color. Therefore, to accurately analyze the actual colors of the indoor environment, color correction technology capable of minimizing the influence of cameras and lighting is required. Furthermore, to enable customers to easily select products using images of their home interiors, technology is needed to analyze and correct the colors of captured images to recommend products that harmonize with the customer's indoor environment. Existing color analysis technologies have primarily relied on simply comparing color data extracted from images; however, this method has limitations, as its accuracy deteriorates depending on lighting conditions or camera characteristics. Consequently, there is a growing need for the development of technology capable of correcting colors distorted by lighting conditions and camera performance, and recommending products suitable for indoor environments based on this correction. This invention proposes a color correction and analysis system to address these issues, aiming to provide consumers with a more convenient and reliable online interior purchasing environment. Other aspects, features, and benefits of specific preferred embodiments of the present invention, as described above, will become more apparent from the following description in conjunction with the accompanying drawings. FIG. 1 is a conceptual diagram showing a system for controlling an interior platform according to one embodiment of the present invention. FIG. 2 is a block diagram showing an electronic device for controlling an interior platform according to one embodiment of the present invention. FIG. 3 is a block diagram showing a processor controlling an interior platform according to one embodiment of the present invention. FIG. 4 is a flowchart illustrating an example of a method for operating an interior platform according to an embodiment of the present invention. FIG. 5 is a diagram showing the process of determining a recommended color according to one embodiment of the present invention. FIGS. 6 and 7 are flowcharts illustrating other examples of a method for operating an interior platform according to one embodiment of the present invention. FIG. 8 is a diagram showing the configuration of an electronic device according to one embodiment of the present invention. FIG. 9 is a diagram showing the configuration of a program according to one embodiment of the present invention. It should be noted that in the drawings above, similar reference numbers are used to illustrate identical or similar elements, features, and structures. Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, to aid in understanding the present invention, the description will focus only on the components necessary for this purpose, and details that are not directly related to the present invention or are com